About the role

We’re looking for a Sr. Growth Product Data Scientist to partner with our Growth Product and Engineering teams to drive measurable impact across the member journey — from acquisition to conversion through long-term retention. You’ll turn data into the decisions that shape how millions of members discover, direct deposit, and get value from Chime.

This role sits at the intersection of product, data, and experimentation. You’ll own funnels end-to-end, design and analyze A/B tests, and translate ambiguous business questions into clear, prioritized recommendations that ship.

In this role, you will work closely with product managers, design, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and go up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Operate as an independent thought partner to Product, Engineering, and Design — helping shape strategy, not just measure it. You’ll proactively identify opportunities and risks, framing the right questions before they’re even asked.
• Work with the team to develop a rich program of experimentation and A/B testing to improve member product experiences, including metric creation, experiment design, power analysis, and analysis of experiment results.
• Drive data-informed decision making within Growth org by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team.
• Use advanced statistical methods for causal inference, as well as time-series and other forecasting techniques, to solve product questions for the team. Occasionally apply machine learning methods for problems such as customer segmentation.
• Build metrics to measure user funnels, product engagement, and retention, and use those metrics to help brainstorm potential product experiments to drive improvements in them.
• Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through Chime’s mobile app.
• Develop and evolve team metrics that define what “good” looks like — ensuring that we optimize for long-term member and business value – and build operational dashboards to track business and product health.
• Translate complex analytical findings into compelling, executive-ready narratives that inspire action and alignment across teams.
• Develop robust data pipelines in dbt for your team, and continuously improve the quality and accessibility of customer data.

To thrive in this role, you have

• 5-7 years of relevant hands-on experience in product or business analytics roles (FinTech a plus).
• Expert-level SQL ability and proficiency in Python.
• Broad knowledge of applied statistics, experimental design, and analysis of A/B tests. Demonstrated experience with machine learning techniques for applied business use cases.
• Demonstrated experience acting as a trusted advisor to senior cross-functional partners — influencing decisions through both data and judgment.
• A strong bias toward proactive problem discovery. You don’t wait for tickets — you explore data, spot patterns, and bring forward opportunities that meaningfully change product direction.
• Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
• Exceptional data storytelling and data visualization ability. Experience with Hex and Looker
• Familiarity with building data pipelines using tools like dbt or Airflow.
• Familiarity with AI coding tools (such as Claude Code and Cursor).

#LI-Hybrid #LI-AM1

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it’s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we’re proud to have helped millions unlock their financial potential.

We’re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner’s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people’s trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren’t just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don’t—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

• 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
• 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
• 💰 Competitive salary based on experience
• ✨ 401k match plus great medical, dental, vision, life, and disability benefits
• 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
• 🫂 1% of your time off to support local community organizations of your choice
• 👟 Annual wellness stipend to use towards eligible wellness related expenses
• 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
• 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

Founded in 2018, Gozem is today a technological group of more than 400 people, agile and ambitious, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group’s ambition is to become “Africa’s Super App” by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on helping to improve the lives of local communities through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life. Together, let’s make Africa smile!

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

What is a Senior Data Scientist at Gozem?

At Gozem, our Senior Data Scientist is a strategic role at the intersection of data science, applied machine learning, and fintech innovation. In the Gozem Money business, you will design and implement advanced models to analyze transactional and behavioral data, predict outcomes, detect risks, and unlock new growth opportunities.

This role goes beyond model-building: you will take ownership of the end-to-end data science workflow, including fetching and cleaning data from diverse sources, building scalable models, and deploying them in production. You will collaborate closely with business leaders, engineers, and product managers to translate complex datasets into actionable insights that shape financial inclusion in Sub-Saharan Africa.

As a senior member of the data team, you will also mentor junior team members, contribute to our data culture, and play a key role in ensuring insights quality, governance, and reliability across our pipelines.

Your tasks:

• Build and deploy advanced statistical, machine learning, and AI models for use cases such as fraud detection, credit scoring, customer segmentation, churn prediction, and personalization.
• Design and implement analytics pipelines: clean, structure, and consume raw data from our data lakehouse, and other sources.
• Lead data-driven decision-making: collect, transform, analyze, and communicate insights that directly inform product, risk, and growth strategies.
• Manage and deliver data science projects from conception to production, ensuring alignment with business objectives.
• Collaborate with cross-functional teams (Product, Engineering, Operations, Finance) to translate business problems into data solutions.
• Monitor and optimize the performance of models and pipelines, ensuring the related solutions remain reliable, fair, and scalable.
• Mentor junior data scientists and analysts, providing guidance on best practices and methodologies.
• Stay up-to-date with the latest advances in AI/ML, MLOps, and fintech analytics, and help integrate them into Gozem’s stack.

You are the right person for this job if you …

• Have strong expertise in machine learning, statistical analysis, and predictive modeling, and know how to bring models from prototype to production.
• Have hands-on experience with transactional data, financial services data, or digital payments.
• Are comfortable with basic analytics engineering tasks: writing efficient SQL queries, cleaning large messy datasets, and automating data flows.
• Have experience working with metadata standards, insights quality frameworks, and governance practices.
• Are able to communicate complex technical concepts clearly to non-technical stakeholders and influence decision-making.
• Can balance innovation with pragmatism, delivering models and insights that drive measurable business impact.
• Thrive in a fast-paced environment, taking ownership of challenges and moving projects forward.

You have

• Education: Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
• Experience: 5+ years of experience in data science, preferably in fintech, banking, payments, or digital platforms.
• Core skills: Mastery of SQL, Python, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Analytics engineering basics: Experience with ETL & automation tools (Airflow, Dataform, or equivalent), and handling large-scale structured/unstructured datasets.
• Visualization: Proficiency in Looker Studio, Metabase, or other BI tools.
• Nice-to-have skills: Knowledge of R, BigQuery, GCP, or MLOps frameworks (MLflow, Kubeflow, etc.).
• Tools to master: Asana, Jira, Google Suite.
• Languages: French and/or English (bilingual proficiency is a strong plus).
• Location: Hybrid.

What we like most

• Self-motivated, autonomous, and proactive in identifying opportunities to create value with data.
• A natural mentor who enjoys helping others grow.
• Detail-oriented, structured, and able to manage time efficiently in a fast-paced, multi-market environment.
• Excited about the challenge of using data to transform financial services in Africa.

Working conditions & benefits

We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

🏢 Open-space offices and teleworking time possible (to be arranged with your manager)

💶 A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

🌿 An option to buy shares in Gozem

🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!

Interview process

• An initial introductory meeting with the recruitment manager (15 minutes)
• A written interview questionnaire
• A business case to be completed
• A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)
• One final validation interview with one of our co-founders

Fondée en 2018, Gozem est aujourd’hui un groupe technologique de plus de 400 personnes, agile et ambitieux, qui offre via son application mobile un très large panel de services incluant transport, livraison, financement, mobile money et bien d’autres aux utilisateurs Africains. Présent au Bénin, Togo, Gabon et Cameroun, notre groupe a pour ambition de devenir “Africa’s Super App” en s’implantant dans toute l’Afrique francophone.Notre solution 100% axée sur le marché Africain, dessert aussi bien les conducteurs, que les clients, les commerçants et d’ici peu, les PME dans nos zones d’activité.

Nous sommes un groupe multinational, avec une très forte présence dans plusieurs villes et fiers de contribuer à l’amélioration de vie des communautés locales grâce à la digitalisation du marché et l’introduction de gains d’efficacité basés sur la technologie.

Vous aspirez à vous épanouir dans un environnement stimulant et convivial ? Vous avez envie d’évoluer et de progresser dans des contextes digitaux, dynamiques et disruptifs ?

Rejoignez-nous dans la construction d’un nouvel écosystème digital Africain qui améliore la qualité de vie. Ensemble, faisons sourire l’Afrique !

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

Qu’est-ce qu’un Senior Data Scientist chez Gozem ?

Notre Senior Data Scientist sera chargé de concevoir et de mettre en œuvre des modèles capables d’analyser de grands ensembles de données pour résoudre différents problèmes et prédire les résultats futurs. Il travaille en étroite collaboration avec les gestionnaires d’entreprise pour comprendre leurs défis et leurs objectifs, traduisant des données complexes en insights exploitables. Ce rôle implique non seulement des compétences techniques en programmation et en analyse de données, mais aussi la capacité de communiquer efficacement les résultats et de mentoriser les membres juniors de l’équipe. Ils jouent un rôle crucial dans le processus de prise de décision basé sur les données au sein d’une organisation. Vous travaillerez en étroite collaboration avec notre responsable des données et toute notre équipe de données. Vous surveillerez également les plans de performance et de contrôle qualité pour identifier les améliorations.

Vos responsabilités:

• Développer et mettre en œuvre des modèles statistiques avancés et d’apprentissage automatique pour résoudre des problèmes complexes
• Diriger le processus de prise de décision basé sur les données, de la collecte et de l’analyse des données à la mise en œuvre et au suivi des solutions
• Gérer les projets de science des données, en veillant à ce qu’ils répondent aux exigences commerciales et soient livrés dans les délais
• Mentorat des data scientists/analysts juniors, en leur fournissant guidance et soutien dans leur développement professionnel
• Collaborer avec des équipes interfonctionnelles pour comprendre les défis et objectifs commerciaux, traduisant des données complexes en insights exploitables
• Rester à l’affût des tendances et des avancées de l’industrie en matière de science des données et d’apprentissage automatique, en améliorant continuellement nos méthodologies et technologies

Vous êtes la bonne personne pour ce poste si vous avez …

• avez un œil très attentif aux détails, une expérience avérée en apprentissage automatique, en analyse statistique et en technologies de big data, ainsi qu’une compréhension approfondie des principaux outils de science des données
• avez une expérience et une méthodologie démontrées dans la gestion de défis complexes de données
• êtes capable de diriger des projets de données de la conception au déploiement.
• avez une très bonne compréhension de l’adressage et de l’optimisation des normes de métadonnées
• êtes capable de travailler avec les parties prenantes pour évaluer les risques potentiels
• êtes capable de traduire les exigences commerciales en termes non techniques, simples
• êtes capable de développer des algorithmes d’apprentissage automatique (y compris des modèles de segmentation et prédictifs) qui mèneront à des solutions de science des données impactantes

Vous avez

• Niveau d’éducation : Licence en informatique/mathématiques/statistiques ou toute certification pertinente liée aux données
• Minimum 5 ans d’expérience professionnelle en tant que Data Scientist
• Motivé(e) par soi-même, apprenant(e) indépendant(e) et aimant partager ses connaissances avec les membres de l’équipe
• Compétences obligatoires : Maîtrise de SQL / Python / Looker
• Compétences que nous recherchons en plus : connaissance de tout langage de programmation ® ou d’autres outils de données (Airflow, etc.)
• Compétences en communication écrite et verbale de haut niveau.
• Outils à maîtriser : Asana, G-Suite
• Langues : Français et/ou Anglais
• Lieu : sur site

Ce que nous aimons le plus : Être motivé par soi-même, être un(e) apprenant(e) indépendant(e) et apprécier partager ses connaissances avec les membres de l’équipe, être orienté(e) vers les détails et être un(e) gestionnaire du temps efficace dans un environnement de travail dynamique et rapide.

Conditions de travail et avantages

Nous offrons à nos employés un environnement de travail juste, convivial et interculturel, dans lequel nous nous efforçons de développer les talents de chaque individu. Pour ce faire, nous offrons :

🏢 Des bureaux en open-space et la possibilité de télétravailler (à organiser avec votre responsable)

💶 Une rémunération mensuelle brute définie selon notre grille salariale interne ainsi que la pertinence de vos expériences passées pour le poste.

🌿 Une option pour acheter des actions chez Gozem

🚗 Des avantages sur notre Super App pour vos déplacements et livraisons

🌐 Un package d’assurance santé et informatique

Et surtout, l’opportunité de rejoindre une équipe jeune et dynamique qui a un réel impact social en Afrique francophone !

Processus d’entretien

• Une première réunion introductive avec le responsable du recrutement (15 minutes)
• Un cas d’entreprise à compléter
• Une présentation de votre cas d’entreprise avec le responsable de l’équipe de données (futur n+1) et un temps pour discuter de votre expérience professionnelle suivi d’une demande de références (vous nous donnez 4 contacts professionnels à qui nous envoyons un questionnaire)
• Un dernier entretien de validation avec l’un de nos cofondateurs

Who We Are:

Same Seats. Better Prices.

Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition.

For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000’s and Crain’s New York Business’ Fast 50.

If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry.

Who You Are:

We’re looking for a Data Scientist to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes — such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas — and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time.

You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. You should also be comfortable partnering with stakeholders across the business — communicating your findings, building buy-in, and seeing your work through to real production impact. If you are looking to join a growing team within a growing company that’s making data a priority, this is the role for you. You’ll have the opportunity to touch many aspects of the business.

Core Responsibilities:

• Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes.

• Build, deploy, and maintain machine learning models in production — operationalizing them in a sustainable, maintainable way.

• Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production.

• Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth.

• BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.

• 3+ years of experience with machine learning models including development, version control, and deployment/serving of models.

• Demonstrated experience operationalizing ML models in production — either independently or alongside an engineering team.

• Experience working with platforms such as Snowflake and Databricks.

• Proficient in one or more programming languages, such as Python.

• Experience using AI tools to increase throughput for exploratory data analysis, model development, experimentation, and more.

• Strong planning, communication, and problem-solving skills.

Strongly Desired Attributes:

• A track record of getting stakeholder buy-in and commitment on experiments and initiatives — communicating findings clearly, addressing concerns from the business, and ensuring that the results of your efforts lead to production impact.
• Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes.
• Experience working with data modeling software and on teams with data modelers.
• Experience using analytical approaches to problem-solving with large volumes of data.

Nice to Have:

• Experience with marketplace businesses and dynamic pricing.

• A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus).

• A hybrid in-office approach, enabling remote work a portion of each week

• Health Care Plan (Medical, Dental & Vision)

• Retirement Plan Contribution (401k, IRA)

• Life Insurance (Basic, Voluntary & AD&D)

• Paid Time Off (Vacation, Sick & Holidays)

• Family Leave (Maternity, Paternity)

• Training & Development

• $100 Monthly Stipend to Attend Live Events

• Employee Outings

• Free Lunch & Snacks

The estimated pay range for this role, based in New York City, is $105,000 - $135,000. This role will be eligible to participate in our company’s equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.

Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.

Diversity at TickPick:

At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization’s culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. The diverse approaches and collaborative problem-solving that result enable us to provide an innovative, nimble, and creative marketplace for our customers and sellers. This belief is central to who we are and what we do, and we are proud of it.

TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.

⭐ Mission

Join us as Head of Growth Performance to own how Qonto’s Growth organization measures and steers performance - from planning and target-setting to measurement adoption, analysis, and team incentives.

You’ll act as Growth’s trusted business partner - helping teams understand the story behind their numbers, make faster decisions, and steer performance in the right direction. You’ll lead a team of specialized business partners, each a senior expert in their domain (acquisition, marketing, sales, partnerships…).

👩‍💻🧑‍💻 As a Head of Growth Performance at Qonto, you will

• Run Growth’s performance operating rhythm: steer performance reviews (weekly, monthly, quarterly), bring a clear narrative on performance, and drive follow-ups through to action and decisions.
• Lead strategic planning for Growth: own bottom-up budgeting and target-setting for the entire Growth department, in close partnership with Strategic Finance.
• Design Growth compensation: build and implement variable pay plans for Sales and other Growth functions, ensuring incentives drive the right behaviors for Qonto’s P&L. Partner with HR and Finance to keep them fair and sustainable.
• Act as the guardian of Growth’s operational measurement stack: define measurement standards across Growth and ensure adoption - from KPI definitions to attribution frameworks and reporting infrastructure.
• Lead and develop a senior team: lead four specialists, each owning a distinct Growth perimeter. Set direction, develop careers, and raise the bar on the team’s output and influence.

🤔 What you can expect:

• Your work informs decisions at the top: your team’s output drives marketing budget allocation, sales compensation design, and strategic priorities for the entire Growth department.
• A fast start: Budget 2027 planning begins in September and runs through December. There’s no slow ramp - you’ll be leading this exercise within your first few months, in close collaboration with Finance.
• An AI agenda that’s real: automating reports, business cases, and performance steering through AI is already on the roadmap. You’ll help define how it gets done.
• A team of specialists who run their own perimeters: your direct reports are senior profiles who don’t need day-to-day direction. The management challenge is developing them, not directing them.
• New challenges every day: new markets, new products, new teams - constant change is our norm at Qonto. You’ll learn fast and grow as you help reshape how we operate.

🤝 About your future manager

Your manager will be Marie Huet, our Growth Program, Intelligence & Operations Director.

• Her background: Marie started her career in strategy before moving into leading operational teams. Across fast-moving companies - TheFork, Swile, and now Qonto - she’s built a strong combination of analytical depth, business acumen, and cross-functional thinking. At Qonto, she leads a 35-person team enabling the Growth department across operations, performance, customer insights, and pricing & packaging.
• What does she bring to the team? She brings a systems thinker’s eye to how teams are structured, prioritized, and connected - turning complexity into clear direction. She will provide the mentorship and cross-functional leadership needed to help you elevate the Growth Performance function into a true strategic business partnering powerhouse.

🏅About You

• Analytical rigor: you have exceptional quantitative skills, a commitment to unbiased analysis, and the ability to balance strategic thinking with tactical execution. You know how to make the numbers resonate with a room of senior leaders.
• People management: you’ve led senior, autonomous profiles and know how to develop careers and retain talent.
• Leadership and influence: you’ve convinced skeptical stakeholders to change how they work without having direct authority. You can challenge a VP’s assumptions with data and make it land constructively.
• Cross-functional fluency: you’ve worked across Data, Finance, and business teams simultaneously, and you know how to keep them aligned and moving in the same direction.
• Product-led growth background: you understand how marketing-heavy, product-led B2B businesses grow - and what truly drives their metrics.
• Languages & location: English required; French is a plus. Based in Paris, with a hybrid setup (three days in the office, two remote).

At Qonto we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we’ve been searching for all along.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Unternehmensbeschreibung

Wir sind ein Innovationsmotor, der die Logistikbranche mit zukunftsweisenden und digitalen Lösungen verändert und in Bewegung hält. Unser Herzstück, der TIMOCOM Marktplatz, verbindet über 58.000 Kunden in einem der größten, dynamischen Logistiknetzwerke Europas und unterstützt sie dabei, ihre logistischen Herausforderungen smart, safe und simple zu lösen. Als einer der erfolgreichsten mittelständischen IT-Arbeitgeber für die Logistikbranche in Europa leisten wir seit über 25 Jahren Pionierarbeit und bleiben kontinuierlich am Puls der Zeit. Mit über 700 Mitarbeitenden gestalten wir gemeinsam den digitalen Wandel im Straßengüterverkehr mit Mut, Kreativität, Leidenschaft und Teamgeist.

Stellenbeschreibung

Als Werkstudent (m/w/d) im Bereich Data Science bekommst du spannende Einblicke in die Welt der Datenanalyse und des maschinellen Lernens. Du wirst uns bei administrativen und organisatorischen Aufgaben unterstützen und bekommst die Chance, Verantwortung zu übernehmen. Je nach Wohnort arbeitest du entweder zweimal pro Woche gemeinsam mit deinem Team im Headquarter in Erkrath oder du hast die Möglichkeit, bis zu 100 % remote zu arbeiten.

• Du unterstützt aktiv bei Data Science-Projekten und wendest dabei verschiedene Methoden unterschiedlicher Philosophien des maschinellen Lernens an.
• Du hilfst bei der Aufbereitung und Analyse von Daten, erstellst detaillierte Visualisierungen und schreibst Berichte sowie Präsentationen, die wertvolle Erkenntnisse vermitteln.
• Zudem bringst du neue Ideen ein und entwickelst innovative datenbasierte Ansätze.
• In unserem agilen Team arbeitest du eng mit Stakeholdern zusammen, um gemeinsam optimale Lösungen zu finden und umzusetzen.
• Außerdem übernimmst du auch eigene kleine Projekte, die als Grundlage für deine Abschlussarbeit dienen können.

Qualifikationen

• Du absolvierst ein Bachelorstudium im Bereich Data Science, Informatik, Mathematik oder einem verwandten Bereich.
• Deine Arbeitsweise zeichnet sich durch eine gewissenhafte, strukturierte und selbstständige Herangehensweise aus.
• Du hast bereits erste praktische Erfahrungen mit Programmiersprachen oder Datenanalyse-Tools gesammelt und bist motiviert, neue Technologien wie Python, SQL oder Spark kennenzulernen.
• Damit du dich in deinem Team gut verständigen kannst, bringst du gute Englischkenntnisse (ab B2) und sehr gute Deutschkenntnisse (ab C1) mit.
• Deine Freunde sagen, dass du eine proaktive, hilfsbereite und freundliche Persönlichkeit hast.
• Du hast Freude an Teamarbeit und bringst die Bereitschaft für Veränderungen mit.

Zusätzliche Informationen

• Deine Arbeitszeit und - ort sind so flexibel wie du: Du kannst unsere modernen Multispaces nutzen, mobil oder remote arbeiten. Durch die hybride Zusammenarbeit fördern wir den direkten Austausch.
• Bei uns kannst du an bis zu 120 Kalendertagen im Jahr aus dem Ausland arbeiten – so kannst du deinen Urlaub verlängern oder Familie und Freunde in der Ferne besuchen.
• Auf unserer internen Weiterbildungsplattform kannst du aus über 20.000 Angeboten wählen. Dank Entwicklungsplänen mit konkreten Inhalten kannst du deine Weiterbildung ganz einfach planen.
• Deine Gesundheit ist uns wichtig: Deshalb bieten wir dir Gesundheitsaktionen und After-Work-Veranstaltungen, wie zum Beispiel einen individuellen Stresscheck, Rückenkurse oder einen Lauftreff.
• Wir denken umweltfreundlich: Du kannst ein E-Bike oder Fahrrad leasen. Alternativ unterstützen wir dich gerne mit einem vergünstigten Jobticket oder einem Fahrgeldzuschuss.
• Für deinen Nachwuchs ist gesorgt: Wir bieten Kita-Plätze in Erkrath und Eltern-Kind-Büros in unserem Headoffice.
• Arbeiten bei uns heißt Kooperation und Zusammenarbeit auf Augenhöhe– wir sind Teamplayer, weil wir wissen, was wir als Einheit bewirken.
• Tip a friend! Job empfohlen, 1.000 € Prämie holen. Der Job passt nicht optimal zu dir, du kennst aber eine Person. Deine Empfehlung belohnen wir gerne. Mehr Infos unter https://karriere.timocom.de/tip-a-friend

About the role

As a Sr. Trust & Safety Product Data Scientist, you will have the opportunity to develop, test, launch and scale member banking experience products that build security awareness and adoption, keeping our members and Chime safe. Trust & Safety organization’s mission is to make Chime the most trusted financial partner by safeguarding member assets, ensuring regulatory excellence, and enhancing the tools and processes that protect our community, while delivering a seamless experience that works reliably for our members. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members.

In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner widely with product, engineering, research, and design to translate your insights to guide product development. You’ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.
• Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
• Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
• Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
• Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.
• Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.

To thrive in this role, you have

• 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred.
• Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.
• Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
• Familiarity in R or python - you write reproducible code and have a tendency toward automation.
• Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
• Experience building metric frameworks to understand user behaviors.
• Ability to think holistically to solve business problems at hand and navigate through ambiguity.
• Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.
• A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business.

#LI-Hybrid #LI-AM1

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it’s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we’re proud to have helped millions unlock their financial potential.

We’re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner’s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people’s trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren’t just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don’t—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

• 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
• 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
• 💰 Competitive salary based on experience
• ✨ 401k match plus great medical, dental, vision, life, and disability benefits
• 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
• 🫂 1% of your time off to support local community organizations of your choice
• 👟 Annual wellness stipend to use towards eligible wellness related expenses
• 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
• 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

About the role

As a Sr. Spending Product Data Scientist, you will have the opportunity to develop, test, launch and scale member banking experience products that build products that make Chime banking the best place to spend, save and invest. Spending XFN organization’s mission is to deliver industry-leading spending products that members want to keep top of wallet. Our spending products help our members spend and manage their money, offering unmatched simplicity, rewards, and tools that bring them financial progress. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members.

In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner widely with product, engineering, research, and design to translate your insights to guide product development. You’ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.
• Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
• Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
• Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
• Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.
• Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.

To thrive in this role, you have

• 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred.
• Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.
• Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
• Familiarity in R or python - you write reproducible code and have a tendency toward automation.
• Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
• Experience building metric frameworks to understand user behaviors.
• Ability to think holistically to solve business problems at hand and navigate through ambiguity.
• Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.
• A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business.

#LI-Hybrid #LI-AM1

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it’s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we’re proud to have helped millions unlock their financial potential.

We’re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner’s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people’s trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren’t just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don’t—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

• 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
• 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
• 💰 Competitive salary based on experience
• ✨ 401k match plus great medical, dental, vision, life, and disability benefits
• 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
• 🫂 1% of your time off to support local community organizations of your choice
• 👟 Annual wellness stipend to use towards eligible wellness related expenses
• 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
• 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

Founded in 2018, Gozem is today a technological group of more than 400 people, agile and ambitious, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group’s ambition is to become “Africa’s Super App” by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on helping to improve the lives of local communities through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life. Together, let’s make Africa smile!

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

What is a Senior Data Scientist at Gozem?

At Gozem, our Senior Data Scientist is a strategic role at the intersection of data science, applied machine learning, and fintech innovation. In the Gozem Money business, you will design and implement advanced models to analyze transactional and behavioral data, predict outcomes, detect risks, and unlock new growth opportunities.

This role goes beyond model-building: you will take ownership of the end-to-end data science workflow, including fetching and cleaning data from diverse sources, building scalable models, and deploying them in production. You will collaborate closely with business leaders, engineers, and product managers to translate complex datasets into actionable insights that shape financial inclusion in Sub-Saharan Africa.

As a senior member of the data team, you will also mentor junior team members, contribute to our data culture, and play a key role in ensuring insights quality, governance, and reliability across our pipelines.

Your tasks:

• Build and deploy advanced statistical, machine learning, and AI models for use cases such as fraud detection, credit scoring, customer segmentation, churn prediction, and personalization.
• Design and implement analytics pipelines: clean, structure, and consume raw data from our data lakehouse, and other sources.
• Lead data-driven decision-making: collect, transform, analyze, and communicate insights that directly inform product, risk, and growth strategies.
• Manage and deliver data science projects from conception to production, ensuring alignment with business objectives.
• Collaborate with cross-functional teams (Product, Engineering, Operations, Finance) to translate business problems into data solutions.
• Monitor and optimize the performance of models and pipelines, ensuring the related solutions remain reliable, fair, and scalable.
• Mentor junior data scientists and analysts, providing guidance on best practices and methodologies.
• Stay up-to-date with the latest advances in AI/ML, MLOps, and fintech analytics, and help integrate them into Gozem’s stack.

You are the right person for this job if you …

• Have strong expertise in machine learning, statistical analysis, and predictive modeling, and know how to bring models from prototype to production.
• Have hands-on experience with transactional data, financial services data, or digital payments.
• Are comfortable with basic analytics engineering tasks: writing efficient SQL queries, cleaning large messy datasets, and automating data flows.
• Have experience working with metadata standards, insights quality frameworks, and governance practices.
• Are able to communicate complex technical concepts clearly to non-technical stakeholders and influence decision-making.
• Can balance innovation with pragmatism, delivering models and insights that drive measurable business impact.
• Thrive in a fast-paced environment, taking ownership of challenges and moving projects forward.

You have

• Education: Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
• Experience: 5+ years of experience in data science, preferably in fintech, banking, payments, or digital platforms.
• Core skills: Mastery of SQL, Python, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Analytics engineering basics: Experience with ETL & automation tools (Airflow, Dataform, or equivalent), and handling large-scale structured/unstructured datasets.
• Visualization: Proficiency in Looker Studio, Metabase, or other BI tools.
• Nice-to-have skills: Knowledge of R, BigQuery, GCP, or MLOps frameworks (MLflow, Kubeflow, etc.).
• Tools to master: Asana, Jira, Google Suite.
• Languages: French and/or English (bilingual proficiency is a strong plus).
• Location: Hybrid.

What we like most

• Self-motivated, autonomous, and proactive in identifying opportunities to create value with data.
• A natural mentor who enjoys helping others grow.
• Detail-oriented, structured, and able to manage time efficiently in a fast-paced, multi-market environment.
• Excited about the challenge of using data to transform financial services in Africa.

Working conditions & benefits

We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

🏢 Open-space offices and teleworking time possible (to be arranged with your manager)

💶 A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

🌿 An option to buy shares in Gozem

🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!

Interview process

• An initial introductory meeting with the recruitment manager (15 minutes)
• A written interview questionnaire
• A business case to be completed
• A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)
• One final validation interview with one of our co-founders

Fondée en 2018, Gozem est aujourd’hui un groupe technologique de plus de 400 personnes, agile et ambitieux, qui offre via son application mobile un très large panel de services incluant transport, livraison, financement, mobile money et bien d’autres aux utilisateurs Africains. Présent au Bénin, Togo, Gabon et Cameroun, notre groupe a pour ambition de devenir “Africa’s Super App” en s’implantant dans toute l’Afrique francophone.Notre solution 100% axée sur le marché Africain, dessert aussi bien les conducteurs, que les clients, les commerçants et d’ici peu, les PME dans nos zones d’activité.

Nous sommes un groupe multinational, avec une très forte présence dans plusieurs villes et fiers de contribuer à l’amélioration de vie des communautés locales grâce à la digitalisation du marché et l’introduction de gains d’efficacité basés sur la technologie.

Vous aspirez à vous épanouir dans un environnement stimulant et convivial ? Vous avez envie d’évoluer et de progresser dans des contextes digitaux, dynamiques et disruptifs ?

Rejoignez-nous dans la construction d’un nouvel écosystème digital Africain qui améliore la qualité de vie. Ensemble, faisons sourire l’Afrique !

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

Qu’est-ce qu’un Senior Data Scientist chez Gozem ?

Notre Senior Data Scientist sera chargé de concevoir et de mettre en œuvre des modèles capables d’analyser de grands ensembles de données pour résoudre différents problèmes et prédire les résultats futurs. Il travaille en étroite collaboration avec les gestionnaires d’entreprise pour comprendre leurs défis et leurs objectifs, traduisant des données complexes en insights exploitables. Ce rôle implique non seulement des compétences techniques en programmation et en analyse de données, mais aussi la capacité de communiquer efficacement les résultats et de mentoriser les membres juniors de l’équipe. Ils jouent un rôle crucial dans le processus de prise de décision basé sur les données au sein d’une organisation. Vous travaillerez en étroite collaboration avec notre responsable des données et toute notre équipe de données. Vous surveillerez également les plans de performance et de contrôle qualité pour identifier les améliorations.

Vos responsabilités:

• Développer et mettre en œuvre des modèles statistiques avancés et d’apprentissage automatique pour résoudre des problèmes complexes
• Diriger le processus de prise de décision basé sur les données, de la collecte et de l’analyse des données à la mise en œuvre et au suivi des solutions
• Gérer les projets de science des données, en veillant à ce qu’ils répondent aux exigences commerciales et soient livrés dans les délais
• Mentorat des data scientists/analysts juniors, en leur fournissant guidance et soutien dans leur développement professionnel
• Collaborer avec des équipes interfonctionnelles pour comprendre les défis et objectifs commerciaux, traduisant des données complexes en insights exploitables
• Rester à l’affût des tendances et des avancées de l’industrie en matière de science des données et d’apprentissage automatique, en améliorant continuellement nos méthodologies et technologies

Vous êtes la bonne personne pour ce poste si vous avez …

• avez un œil très attentif aux détails, une expérience avérée en apprentissage automatique, en analyse statistique et en technologies de big data, ainsi qu’une compréhension approfondie des principaux outils de science des données
• avez une expérience et une méthodologie démontrées dans la gestion de défis complexes de données
• êtes capable de diriger des projets de données de la conception au déploiement.
• avez une très bonne compréhension de l’adressage et de l’optimisation des normes de métadonnées
• êtes capable de travailler avec les parties prenantes pour évaluer les risques potentiels
• êtes capable de traduire les exigences commerciales en termes non techniques, simples
• êtes capable de développer des algorithmes d’apprentissage automatique (y compris des modèles de segmentation et prédictifs) qui mèneront à des solutions de science des données impactantes

Vous avez

• Niveau d’éducation : Licence en informatique/mathématiques/statistiques ou toute certification pertinente liée aux données
• Minimum 5 ans d’expérience professionnelle en tant que Data Scientist
• Motivé(e) par soi-même, apprenant(e) indépendant(e) et aimant partager ses connaissances avec les membres de l’équipe
• Compétences obligatoires : Maîtrise de SQL / Python / Looker
• Compétences que nous recherchons en plus : connaissance de tout langage de programmation ® ou d’autres outils de données (Airflow, etc.)
• Compétences en communication écrite et verbale de haut niveau.
• Outils à maîtriser : Asana, G-Suite
• Langues : Français et/ou Anglais
• Lieu : sur site

Ce que nous aimons le plus : Être motivé par soi-même, être un(e) apprenant(e) indépendant(e) et apprécier partager ses connaissances avec les membres de l’équipe, être orienté(e) vers les détails et être un(e) gestionnaire du temps efficace dans un environnement de travail dynamique et rapide.

Conditions de travail et avantages

Nous offrons à nos employés un environnement de travail juste, convivial et interculturel, dans lequel nous nous efforçons de développer les talents de chaque individu. Pour ce faire, nous offrons :

🏢 Des bureaux en open-space et la possibilité de télétravailler (à organiser avec votre responsable)

💶 Une rémunération mensuelle brute définie selon notre grille salariale interne ainsi que la pertinence de vos expériences passées pour le poste.

🌿 Une option pour acheter des actions chez Gozem

🚗 Des avantages sur notre Super App pour vos déplacements et livraisons

🌐 Un package d’assurance santé et informatique

Et surtout, l’opportunité de rejoindre une équipe jeune et dynamique qui a un réel impact social en Afrique francophone !

Processus d’entretien

• Une première réunion introductive avec le responsable du recrutement (15 minutes)
• Un cas d’entreprise à compléter
• Une présentation de votre cas d’entreprise avec le responsable de l’équipe de données (futur n+1) et un temps pour discuter de votre expérience professionnelle suivi d’une demande de références (vous nous donnez 4 contacts professionnels à qui nous envoyons un questionnaire)
• Un dernier entretien de validation avec l’un de nos cofondateurs

Founded in 2018, Gozem is today a technological group of more than 400 people, agile and ambitious, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group’s ambition is to become “Africa’s Super App” by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on helping to improve the lives of local communities through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life. Together, let’s make Africa smile!

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

What is a Senior Data Scientist at Gozem?

At Gozem, our Senior Data Scientist is a strategic role at the intersection of data science, applied machine learning, and fintech innovation. In the Gozem Money business, you will design and implement advanced models to analyze transactional and behavioral data, predict outcomes, detect risks, and unlock new growth opportunities.

This role goes beyond model-building: you will take ownership of the end-to-end data science workflow, including fetching and cleaning data from diverse sources, building scalable models, and deploying them in production. You will collaborate closely with business leaders, engineers, and product managers to translate complex datasets into actionable insights that shape financial inclusion in Sub-Saharan Africa.

As a senior member of the data team, you will also mentor junior team members, contribute to our data culture, and play a key role in ensuring insights quality, governance, and reliability across our pipelines.

Your tasks:

• Build and deploy advanced statistical, machine learning, and AI models for use cases such as fraud detection, credit scoring, customer segmentation, churn prediction, and personalization.
• Design and implement analytics pipelines: clean, structure, and consume raw data from our data lakehouse, and other sources.
• Lead data-driven decision-making: collect, transform, analyze, and communicate insights that directly inform product, risk, and growth strategies.
• Manage and deliver data science projects from conception to production, ensuring alignment with business objectives.
• Collaborate with cross-functional teams (Product, Engineering, Operations, Finance) to translate business problems into data solutions.
• Monitor and optimize the performance of models and pipelines, ensuring the related solutions remain reliable, fair, and scalable.
• Mentor junior data scientists and analysts, providing guidance on best practices and methodologies.
• Stay up-to-date with the latest advances in AI/ML, MLOps, and fintech analytics, and help integrate them into Gozem’s stack.

You are the right person for this job if you …

• Have strong expertise in machine learning, statistical analysis, and predictive modeling, and know how to bring models from prototype to production.
• Have hands-on experience with transactional data, financial services data, or digital payments.
• Are comfortable with basic analytics engineering tasks: writing efficient SQL queries, cleaning large messy datasets, and automating data flows.
• Have experience working with metadata standards, insights quality frameworks, and governance practices.
• Are able to communicate complex technical concepts clearly to non-technical stakeholders and influence decision-making.
• Can balance innovation with pragmatism, delivering models and insights that drive measurable business impact.
• Thrive in a fast-paced environment, taking ownership of challenges and moving projects forward.

You have

• Education: Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
• Experience: 5+ years of experience in data science, preferably in fintech, banking, payments, or digital platforms.
• Core skills: Mastery of SQL, Python, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Analytics engineering basics: Experience with ETL & automation tools (Airflow, Dataform, or equivalent), and handling large-scale structured/unstructured datasets.
• Visualization: Proficiency in Looker Studio, Metabase, or other BI tools.
• Nice-to-have skills: Knowledge of R, BigQuery, GCP, or MLOps frameworks (MLflow, Kubeflow, etc.).
• Tools to master: Asana, Jira, Google Suite.
• Languages: French and/or English (bilingual proficiency is a strong plus).
• Location: Hybrid.

What we like most

• Self-motivated, autonomous, and proactive in identifying opportunities to create value with data.
• A natural mentor who enjoys helping others grow.
• Detail-oriented, structured, and able to manage time efficiently in a fast-paced, multi-market environment.
• Excited about the challenge of using data to transform financial services in Africa.

Working conditions & benefits

We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

🏢 Open-space offices and teleworking time possible (to be arranged with your manager)

💶 A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

🌿 An option to buy shares in Gozem

🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!

Interview process

• An initial introductory meeting with the recruitment manager (15 minutes)
• A written interview questionnaire
• A business case to be completed
• A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)
• One final validation interview with one of our co-founders

Fondée en 2018, Gozem est aujourd’hui un groupe technologique de plus de 400 personnes, agile et ambitieux, qui offre via son application mobile un très large panel de services incluant transport, livraison, financement, mobile money et bien d’autres aux utilisateurs Africains. Présent au Bénin, Togo, Gabon et Cameroun, notre groupe a pour ambition de devenir “Africa’s Super App” en s’implantant dans toute l’Afrique francophone.Notre solution 100% axée sur le marché Africain, dessert aussi bien les conducteurs, que les clients, les commerçants et d’ici peu, les PME dans nos zones d’activité.

Nous sommes un groupe multinational, avec une très forte présence dans plusieurs villes et fiers de contribuer à l’amélioration de vie des communautés locales grâce à la digitalisation du marché et l’introduction de gains d’efficacité basés sur la technologie.

Vous aspirez à vous épanouir dans un environnement stimulant et convivial ? Vous avez envie d’évoluer et de progresser dans des contextes digitaux, dynamiques et disruptifs ?

Rejoignez-nous dans la construction d’un nouvel écosystème digital Africain qui améliore la qualité de vie. Ensemble, faisons sourire l’Afrique !

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

Qu’est-ce qu’un Senior Data Scientist chez Gozem ?

Notre Senior Data Scientist sera chargé de concevoir et de mettre en œuvre des modèles capables d’analyser de grands ensembles de données pour résoudre différents problèmes et prédire les résultats futurs. Il travaille en étroite collaboration avec les gestionnaires d’entreprise pour comprendre leurs défis et leurs objectifs, traduisant des données complexes en insights exploitables. Ce rôle implique non seulement des compétences techniques en programmation et en analyse de données, mais aussi la capacité de communiquer efficacement les résultats et de mentoriser les membres juniors de l’équipe. Ils jouent un rôle crucial dans le processus de prise de décision basé sur les données au sein d’une organisation. Vous travaillerez en étroite collaboration avec notre responsable des données et toute notre équipe de données. Vous surveillerez également les plans de performance et de contrôle qualité pour identifier les améliorations.

Vos responsabilités:

• Développer et mettre en œuvre des modèles statistiques avancés et d’apprentissage automatique pour résoudre des problèmes complexes
• Diriger le processus de prise de décision basé sur les données, de la collecte et de l’analyse des données à la mise en œuvre et au suivi des solutions
• Gérer les projets de science des données, en veillant à ce qu’ils répondent aux exigences commerciales et soient livrés dans les délais
• Mentorat des data scientists/analysts juniors, en leur fournissant guidance et soutien dans leur développement professionnel
• Collaborer avec des équipes interfonctionnelles pour comprendre les défis et objectifs commerciaux, traduisant des données complexes en insights exploitables
• Rester à l’affût des tendances et des avancées de l’industrie en matière de science des données et d’apprentissage automatique, en améliorant continuellement nos méthodologies et technologies

Vous êtes la bonne personne pour ce poste si vous avez …

• avez un œil très attentif aux détails, une expérience avérée en apprentissage automatique, en analyse statistique et en technologies de big data, ainsi qu’une compréhension approfondie des principaux outils de science des données
• avez une expérience et une méthodologie démontrées dans la gestion de défis complexes de données
• êtes capable de diriger des projets de données de la conception au déploiement.
• avez une très bonne compréhension de l’adressage et de l’optimisation des normes de métadonnées
• êtes capable de travailler avec les parties prenantes pour évaluer les risques potentiels
• êtes capable de traduire les exigences commerciales en termes non techniques, simples
• êtes capable de développer des algorithmes d’apprentissage automatique (y compris des modèles de segmentation et prédictifs) qui mèneront à des solutions de science des données impactantes

Vous avez

• Niveau d’éducation : Licence en informatique/mathématiques/statistiques ou toute certification pertinente liée aux données
• Minimum 5 ans d’expérience professionnelle en tant que Data Scientist
• Motivé(e) par soi-même, apprenant(e) indépendant(e) et aimant partager ses connaissances avec les membres de l’équipe
• Compétences obligatoires : Maîtrise de SQL / Python / Looker
• Compétences que nous recherchons en plus : connaissance de tout langage de programmation ® ou d’autres outils de données (Airflow, etc.)
• Compétences en communication écrite et verbale de haut niveau.
• Outils à maîtriser : Asana, G-Suite
• Langues : Français et/ou Anglais
• Lieu : sur site

Ce que nous aimons le plus : Être motivé par soi-même, être un(e) apprenant(e) indépendant(e) et apprécier partager ses connaissances avec les membres de l’équipe, être orienté(e) vers les détails et être un(e) gestionnaire du temps efficace dans un environnement de travail dynamique et rapide.

Conditions de travail et avantages

Nous offrons à nos employés un environnement de travail juste, convivial et interculturel, dans lequel nous nous efforçons de développer les talents de chaque individu. Pour ce faire, nous offrons :

🏢 Des bureaux en open-space et la possibilité de télétravailler (à organiser avec votre responsable)

💶 Une rémunération mensuelle brute définie selon notre grille salariale interne ainsi que la pertinence de vos expériences passées pour le poste.

🌿 Une option pour acheter des actions chez Gozem

🚗 Des avantages sur notre Super App pour vos déplacements et livraisons

🌐 Un package d’assurance santé et informatique

Et surtout, l’opportunité de rejoindre une équipe jeune et dynamique qui a un réel impact social en Afrique francophone !

Processus d’entretien

• Une première réunion introductive avec le responsable du recrutement (15 minutes)
• Un cas d’entreprise à compléter
• Une présentation de votre cas d’entreprise avec le responsable de l’équipe de données (futur n+1) et un temps pour discuter de votre expérience professionnelle suivi d’une demande de références (vous nous donnez 4 contacts professionnels à qui nous envoyons un questionnaire)
• Un dernier entretien de validation avec l’un de nos cofondateurs

Who We Are:

Same Seats. Better Prices.

Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition.

For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000’s and Crain’s New York Business’ Fast 50.

If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry.

Who You Are:

We’re looking for a Data Scientist to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes — such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas — and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time.

You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. You should also be comfortable partnering with stakeholders across the business — communicating your findings, building buy-in, and seeing your work through to real production impact. If you are looking to join a growing team within a growing company that’s making data a priority, this is the role for you. You’ll have the opportunity to touch many aspects of the business.

Core Responsibilities:

• Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes.

• Build, deploy, and maintain machine learning models in production — operationalizing them in a sustainable, maintainable way.

• Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production.

• Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth.

• BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.

• 3+ years of experience with machine learning models including development, version control, and deployment/serving of models.

• Demonstrated experience operationalizing ML models in production — either independently or alongside an engineering team.

• Experience working with platforms such as Snowflake and Databricks.

• Proficient in one or more programming languages, such as Python.

• Experience using AI tools to increase throughput for exploratory data analysis, model development, experimentation, and more.

• Strong planning, communication, and problem-solving skills.

Strongly Desired Attributes:

• A track record of getting stakeholder buy-in and commitment on experiments and initiatives — communicating findings clearly, addressing concerns from the business, and ensuring that the results of your efforts lead to production impact.
• Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes.
• Experience working with data modeling software and on teams with data modelers.
• Experience using analytical approaches to problem-solving with large volumes of data.

Nice to Have:

• Experience with marketplace businesses and dynamic pricing.

• A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus).

• A hybrid in-office approach, enabling remote work a portion of each week

• Health Care Plan (Medical, Dental & Vision)

• Retirement Plan Contribution (401k, IRA)

• Life Insurance (Basic, Voluntary & AD&D)

• Paid Time Off (Vacation, Sick & Holidays)

• Family Leave (Maternity, Paternity)

• Training & Development

• $100 Monthly Stipend to Attend Live Events

• Employee Outings

• Free Lunch & Snacks

The estimated pay range for this role, based in New York City, is $105,000 - $135,000. This role will be eligible to participate in our company’s equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.

Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.

Diversity at TickPick:

At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization’s culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. The diverse approaches and collaborative problem-solving that result enable us to provide an innovative, nimble, and creative marketplace for our customers and sellers. This belief is central to who we are and what we do, and we are proud of it.

TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.

Founded in 2018, Gozem is today a technological group of more than 400 people, agile and ambitious, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group’s ambition is to become “Africa’s Super App” by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on helping to improve the lives of local communities through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life. Together, let’s make Africa smile!

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.ht

What is an Analytics Engineer at Gozem ?

Our Data Engineer will act as a bridge between our backend product & engineering teams and the wider global analytics organization. He/She is focused on building and maintaining scalable, secure, and high-performing data infrastructures and pipelines across multiple business lines (transport, ecommerce, fintech, and financial services).

This role requires strong expertise in Google Cloud’s data and analytics ecosystem, complemented with hands-on skills in open-source data engineering tools to ensure interoperability, flexibility, and cost-effective solutions.

Your tasks

• Own the end-to-end data lifecycle: ingestion, pipelining (collection, storage, access), transformation (cleansing, enrichment, feature creation/selection), and governance (documentation, monitoring, observability).
• Design and implement data pipelines (batch and streaming) using BigQuery, Dataform, Dataflow, Pub/Sub, Cloud Storage, and open-source frameworks (e.g., Spark, Kafka, Airflow).
• Partner with analytics squads leads and data scientists to build reusable, production-ready datasets and features that enable advanced modeling and reporting.
• Support the development and optimization of Gozem’s data lakehouse and data marts, ensuring scalability and performance across multiple verticals.
• Evaluate user requests for analytics and reporting solutions, determining feasibility, time requirements, and architectural fit.
• Establish and maintain data quality frameworks (validation, monitoring, alerting) to ensure trust in data assets across the organization.
• Interact with stakeholders (Business Leads, Product Managers…) to clarify data availability, reliability and solutions requirements, ensuring insights are actionable and accurate.

You are the right person for this job if you have…

• Strong data profiling and engineering skills, with hands-on experience in Google Cloud Platform (BigQuery, Dataform, Dataflow, Pub/Sub, Composer, Cloud Functions, Cloud Run) and open-source data processing frameworks (Spark, Kafka, Airflow, etc.).
• Solid understanding of infrastructure and deployment (Linux OS, Docker, containerized environments, CI/CD workflows).
• Experience with relational and NoSQL databases (PostgreSQL, MongoDB, ClickHouse, etc.).
• Demonstrated ability to design and implement ETL/ELT pipelines, real-time data processing, and transformations of structured & unstructured data.
• Proven experience in environments where documentation, testing, reproducibility, and data governance are valued.
• Desire for clean, well-organized, and maintainable solutions that scale across teams and markets.

You have

• Education: Master’s degree recommended (but not required) in Computer Science, Data Engineering, or related fields.
• Experience: Minimum 5 years of professional experience in data engineering or analytics engineering roles.
• Proficiency in Python (mandatory) and SQL (advanced), with working knowledge of Node.js to support API integrations and backend data workflows.
• Familiarity with workflow orchestration (Airflow, Cron, etc.) and version control (Git).
• Experience with modern data stack practices: modular pipelines, CI/CD for data, data observability, cost optimization.
• Tools to master: Asana, Google Suite, GitLab (mandatory), familiarity with Jira.
• Languages: French & English (professional proficiency required).

What we like most

• Self-motivated, independent learner, and eager to share knowledge with teammates.
• Detail-oriented and efficient time manager in a dynamic, high-growth environment.
• Strong communication skills with both technical and non-technical stakeholders.
• A builder’s mindset: excited to design systems that scale across Africa’s Super App ecosystem and deliver impact.

Working conditions & benefits

We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

📍Flexible work location: Hybrid (on-site in our markets / remote days possibility).

🏢 Open-space offices and teleworking time possible (to be arranged with your

manager)

💶 A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

🌿 An option to buy shares in Gozem

🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!

Interview process

• An initial introductory meeting with the recruitment manager (15 minutes)
• A business case to be completed
• A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)

⭐ Mission

Join us as Head of Growth Performance to own how Qonto’s Growth organization measures and steers performance - from planning and target-setting to measurement adoption, analysis, and team incentives.

You’ll act as Growth’s trusted business partner - helping teams understand the story behind their numbers, make faster decisions, and steer performance in the right direction. You’ll lead a team of specialized business partners, each a senior expert in their domain (acquisition, marketing, sales, partnerships…).

👩‍💻🧑‍💻 As a Head of Growth Performance at Qonto, you will

• Run Growth’s performance operating rhythm: steer performance reviews (weekly, monthly, quarterly), bring a clear narrative on performance, and drive follow-ups through to action and decisions.
• Lead strategic planning for Growth: own bottom-up budgeting and target-setting for the entire Growth department, in close partnership with Strategic Finance.
• Design Growth compensation: build and implement variable pay plans for Sales and other Growth functions, ensuring incentives drive the right behaviors for Qonto’s P&L. Partner with HR and Finance to keep them fair and sustainable.
• Act as the guardian of Growth’s operational measurement stack: define measurement standards across Growth and ensure adoption - from KPI definitions to attribution frameworks and reporting infrastructure.
• Lead and develop a senior team: lead four specialists, each owning a distinct Growth perimeter. Set direction, develop careers, and raise the bar on the team’s output and influence.

🤔 What you can expect:

• Your work informs decisions at the top: your team’s output drives marketing budget allocation, sales compensation design, and strategic priorities for the entire Growth department.
• A fast start: Budget 2027 planning begins in September and runs through December. There’s no slow ramp - you’ll be leading this exercise within your first few months, in close collaboration with Finance.
• An AI agenda that’s real: automating reports, business cases, and performance steering through AI is already on the roadmap. You’ll help define how it gets done.
• A team of specialists who run their own perimeters: your direct reports are senior profiles who don’t need day-to-day direction. The management challenge is developing them, not directing them.
• New challenges every day: new markets, new products, new teams - constant change is our norm at Qonto. You’ll learn fast and grow as you help reshape how we operate.

🤝 About your future manager

Your manager will be Marie Huet, our Growth Program, Intelligence & Operations Director.

• Her background: Marie started her career in strategy before moving into leading operational teams. Across fast-moving companies - TheFork, Swile, and now Qonto - she’s built a strong combination of analytical depth, business acumen, and cross-functional thinking. At Qonto, she leads a 35-person team enabling the Growth department across operations, performance, customer insights, and pricing & packaging.
• What does she bring to the team? She brings a systems thinker’s eye to how teams are structured, prioritized, and connected - turning complexity into clear direction. She will provide the mentorship and cross-functional leadership needed to help you elevate the Growth Performance function into a true strategic business partnering powerhouse.

🏅About You

• Analytical rigor: you have exceptional quantitative skills, a commitment to unbiased analysis, and the ability to balance strategic thinking with tactical execution. You know how to make the numbers resonate with a room of senior leaders.
• People management: you’ve led senior, autonomous profiles and know how to develop careers and retain talent.
• Leadership and influence: you’ve convinced skeptical stakeholders to change how they work without having direct authority. You can challenge a VP’s assumptions with data and make it land constructively.
• Cross-functional fluency: you’ve worked across Data, Finance, and business teams simultaneously, and you know how to keep them aligned and moving in the same direction.
• Product-led growth background: you understand how marketing-heavy, product-led B2B businesses grow - and what truly drives their metrics.
• Languages & location: English required; French is a plus. Based in Paris, with a hybrid setup (three days in the office, two remote).

At Qonto we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we’ve been searching for all along.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About NivodaNivoda’s growth trajectory has skyrocketed over the past 12 months, and we continue to expand across new regions at an unprecedented pace. Our DNA centers on understanding our customers’...

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution.

TEHORA est présentement à la recherche d’un(e) analyste fonctionnel(le) senior ayant d’excellentes aptitudes analytiques et une solide expérience dans le développement et la maintenance de systèmes d’information.

Headquarters: Mexico
URL: http://sonova.com

Business Analyst & CRM (Salesforce)

Mexico City, México – REMOTE AVAILABLE FOR THE RIGHT CANDIDATE

 

**Must speak and understand English for this position

 

The Business Analyst & CRM (Salesforce) plays a critical role in driving the execution of Sonova Mexico’s pricing strategy while ensuring full visibility of commercial performance through robust KPI tracking and analytics. This role serves as the functional owner of Salesforce, supporting data integrity, system optimization, and enabling data-driven decision-making across the commercial organization.

 

This position is essential to strengthening operational excellence, improving profitability, and supporting sustainable market share growth.

 

 

Responsibilities:

• Monitor and analyze performance of customer-tier pricing strategies across segments

• Analyze sales volumes, pricing, margins, discount behavior, and customer trends

• Produce recurring and ad-hoc executive reports for leadership

• Identify risks, deviations, and opportunities to improve profitability and competitiveness

• Support automation of pricing rules in SAP and Salesforce

• Act as the internal Product Owner for Salesforce

• Ensure data quality, system usage, and continuous CRM optimization

• Build dashboards, reports, and workflows to support Sales and Management teams

• Lead user training, adoption initiatives, and system enhancements

• Track KPIs including customer volume, discount levels, contract compliance, and financial performance

• Prepare monthly and quarterly performance summaries and insights

• Partner with Sales teams to support pricing strategy execution and customer negotiations

• Collaborate cross-functionally with Marketing, Finance, Operations, and IT teams

 

 

More about you:

• Bachelor’s degree in Business Administration, Industrial Engineering, Economics, Finance, Information Systems, or related field

• Strong Salesforce experience including dashboards, reporting, and automation

• Advanced Excel skills; Power BI or similar tools preferred

• Strong understanding of commercial processes and pricing strategies

• Ability to analyze large datasets and translate insights into actionable recommendations

• Advanced English proficiency

• Strong analytical thinking, attention to detail, and problem-solving skills

• Excellent communication and ability to influence cross-functional teams

 

 

A minimum of 200Mb/sec download and 10Mb/sec upload speed internet connectivity is required to support any remote/hybrid employee functionality at Sonova

Don't meet all the criteria? If you’re willing to go all in and learn we'd love to hear from you!

 

What we offer:

• Benefits in accordance with the Federal Labor Law (LFT)
• Savings fund (Fondo de Ahorro)

 

 

How we work:

At Sonova, we prioritize the well-being of our employees and foster an inclusive environment that promotes engagement and collaboration. Our team-customized hybrid work model empowers teams to balance individual needs with business goals, offering flexibility and individualized time management. We recognize the importance of life outside of work and strive to create a supportive and motivating workplace where innovation thrives.

 

To apply: https://weworkremotely.com/remote-jobs/sonova-international-business-crm-analyst-remote

Gritter Francona is looking to hire a Data Technician to support a contract with the Veterans Affairs.

A Data Technician will support a delivery team to enter, report, and document data under the guidance of the team lead. This position is part of a team requiring daily interactions in a collaborate environment.

Key Responsibilities:

• Data Entry and Processing: Entering, updating, and correcting data in databases, often handling high volumes of information
• Data Integrity and Quality: Verifying data accuracy, performing data cleaning, and ensuring consistency across systems
• Reporting and Analysis: Generating reports and extracting insights from data for operational use
• Documentation and Security: Maintaining data documentation (dictionaries/models) and adhering to data security policies
  
  

Requirements

• High school diploma or GED
• Familiarity with databases
• Ability to manage time and prioritization of tasks as a high level
• Ability to communication effectively with managers and customers
• Experience with tools such as ServiceNow, GitHub, Jira etc

About NivodaNivoda’s growth trajectory has skyrocketed over the past 12 months, and we continue to expand across new regions at an unprecedented pace. Our DNA centers on understanding our customers’...

Company Overview: At HubSpot, we help businesses grow better every day. Our Guided Selling team is at the center of that mission - building the AI and automation-driven solutions that streamline how our sales team sells, sharpen coaching effectiveness, and accelerate how fast new hires ramp. We operate at the intersection of strategy, data, and enablement, and our work shapes the experience of sales reps across HubSpot globally.

Job Summary: This role sits within HubSpot’s broader Revenue Operations organization and is part of the GTM Strategy & Operations team. Reporting to a Sr. Manager of GTM Strategy & Operations, the team helps shape how HubSpot plans, measures, and improves global sales performance, with annual sales planning serving as its core focus. Partnering across the business, the team develops sales targets, planning guardrails, forecasting models, and operational strategies that support scalable growth across HubSpot’s global GTM organization.

As a Lead Sales Strategy Analyst, you’ll work closely with teams responsible for pipeline generation and revenue growth, including Marketing, BDR, Partner, Sales Operations, FP&A, and executive leadership. You’ll help translate business priorities into data-driven recommendations and actionable plans. You’ll also play a central role in corporate sales reporting, quarterly commit cycles, and strategic analysis, helping leaders make informed decisions in a fast-moving, highly cross-functional environment.

This role is ideal for someone who enjoys solving complex business problems through data, thrives in ambiguity, and can confidently communicate insights and recommendations to senior stakeholders. Success in this role requires a strong analytical foundation, attention to detail, intellectual curiosity, and comfort leveraging modern analytics and AI-powered tools to improve decision-making and efficiency at scale.

In this role you’ll get to:

Analysis & Insights

• Become the go-to strategic partner for your business area by building the data fluency, reporting, and analytical rigor that help leaders make better decisions
• Surface performance trends, risks, and opportunities through thoughtful analysis, and turn complex findings into clear recommendations
• Deliver timely reporting and insights that support day-to-day decisions, quarterly planning, and executive visibility
• Own key components of annual sales planning and forecasting processes for your business area

Strategy & Execution

• Help shape sales strategy by translating business priorities into planning assumptions, targets, and operational recommendations
• Partner cross-functionally with teams like Sales, Marketing, BDR, FP&A, and Operations to drive planning work from problem definition through execution
• Support high-impact initiatives and ad hoc analyses that keep the business moving and improve how we plan, measure, and grow

Sales Enablement & Communication

• Present insights, recommendations, and progress updates to stakeholders across the GTM organization, including senior leadership
• Bring structure to ambiguous problems, ask thoughtful questions, and help teams align around the right path forward

We are looking for people who:

Core Requirements:

• 5+ years of professional experience in sales operations, analytics, strategy, FP&A, or other related fields
• Are highly analytical and comfortable working with large, complex datasets to uncover insights, identify trends, and influence business decisions
• Have experience building forecasting models, performance models, and scalable reporting frameworks that support strategic planning and operational decision-making
• Are proficient in SQL, Looker, and other BI/data visualization platforms such as Tableau and Hex
• Can translate complex analyses and models into clear, actionable recommendations for both technical and non-technical audiences, including senior leadership
• Are naturally curious, ambitious, and enjoys digging into ambiguous problems and identifying opportunities for improvement
• Are excellent communicators who can present effectively, document requirements clearly, and collect and synthesize user feedback
• Have exceptional attention to detail and the ability to learn new tools quickly
• Experience automating reporting, improving operational processes, or scaling analytical workflows
• Experience using AI tools to drive increased productivity

Nice to Have:

• Familiarity with CRM systems such as Salesforce or HubSpot
• Experience with sales enablement, GTM strategy, territory planning, or sales performance optimization
• Experience working in high-growth or fast-paced operating environments
• Have experience working in the technology industry, Software as a Service (SaaS), or other recurring revenue business models

We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form.

At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Germany Applicants: (m/f/d) - link to HubSpot’s Career Diversity page here.

India Applicants: link to HubSpot India’s equal opportunity policy here.

About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot’s connected platform enables businesses to grow faster by focusing on what matters most: customers.

At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:

• HubSpot Careers
• Life at HubSpot on Instagram

HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot’s Recruiting Privacy Notice for details on data processing and your rights.

WHAT IS BOX?

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

Product Analytics at Box plays a key part in building increased understanding of our products, our customers, and our business so that we can help our teammates make better data-driven decisions. We work cross-functionally to develop and share insights, combining qualitative understanding and quantitative analysis. As a member of the team, you’ll have an opportunity to work with high-caliber individuals to drive strategic and operational improvements at our company.

As the Product Analyst, you will be responsible for delivering data and insights that drive decision making for our business and product initiatives. You will need to be able to translate strong insights about user behavior and analysis techniques into actionable work for the team.   The ideal candidate will bring a depth of functional experience with a proven track record driving meaningful product wins through insights & influence.

WHAT YOU’LL DO

• You will use analytics to answer questions about how our customers are using our product, with the goal of improving product adoption and customer retention.

• You will guide the Product Leadership Team on setting company-wide goals that inform and support our long-term product strategy

• You will own the roadmap and data integrity of our products reporting, identifying opportunities to build new dashboards and self-serve resources with the end goal of increasing data consumption and efficiency.

• You will work cross-functionally with product managers, data engineers, and product engineers to ensure we’re delivering quality insights to the business.

WHO YOU ARE

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• You’re a “data ninja”. You enjoy digging into the details of data models to answer questions, and you enjoy finding ways to enable people to access data to drive decisions.

• Your analytics skills are strong, including 1 + years of experience in an analytics role. You have significant experience with SQL and data visualization tools (Tableau, Qlik, Power BI, Looker, Domo, etc.)

• You’ve proven yourself as a trusted business partner. You’ve got excellent communication skills and can translate between technical and functional requirements.  You have experience working with business stakeholders to clarify questions and prioritize asks.

• You’ve got a strong education. You have a Bachelor’s in an analytical field (statistics, computer science, etc.)

BENEFITS

Check out the overview of Life at Box which include general perks and benefits.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

For details on how we protect your information when you apply, please see our Personnel Privacy Notice.

For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.

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