ppJoin one of the fastest growing rewards/fintech startups in the world - Benjamin! Backed by Play Ventures and F4 Fund, we're all about making everyday actions rewarding. We're looking for an experienced bSenior /b bData Scientist /b to help us take things to the next level. /ppAt Benjamin, we give users real cash rewards—what we call MoMos (Money Moments)—for things they're already doing. From playing games and watching ads to everyday card purchases with cash back, we're all about putting money back in people's pockets. /ph3What you’ll do /h3ulliFind and frame the high-impact problems, figure out which lever moves the metric before writing a line of model code, so every project has a clear "so what?" /liliOptimize rewards and incentives directly — uplift modeling and reward/pricing optimization that grows engagement and conversion without wasting spend /liliRecommend and rank offers and content in real time — the right offer for the right user at the right moment /liliOwn experimentation and measurement across product and paid acquisition — causal impact, incrementality, and attribution (MMM and multi-touch) /liliTake problems zero-to-one — turn a blank-slate idea into a production data product, not a Confluence page /liliBuild features, labels, training datasets, and evaluation pipelines /liliShip models as batch jobs, APIs, services, or product features — and keep training, validation, and inference running reliably without hand-holding /liliMentor the team and set the standard for ML engineering at Benjamin /li /ulh3What we’re looking for /h3ulliStrong statistical judgment: you know experimentation, causal inference, and model evaluation cold, and you use them to decide what's actually working /liliA track record of models that moved a real business metric. You frame problems around impact and can answer "so what?" about your own work /liliExperience with recommendations, ranking,



forecasting, uplift, or causal methods /liliYou've operated reliable pipelines in production, not just built them once /liliComfortable getting your own work into production — cloud (AWS preferred), a warehouse (Snowflake, BigQuery, Postgres, or similar), and enough software engineering fundamentals (Git, testing, CI/CD, Docker) to ship without hand-holding /liliBias toward simple, practical solutions. Strong communication and ownership /li /ulh3Our stack /h3ulliCloud/infra: AWS (GCP), Terraform, Docker /liliLanguages: Python, SQL, TypeScript /liliTooling: Hex, GitHub Actions, Git, Airbyte, Claude /li /ulpYou won't have used every tool here, and you don't need to. Strong engineering fundamentals and experience operating production data systems matter more than matching the stack. /ph3Why Join Us? /h3ulliCompetitive pay: We offer great salaries and bonuses. /liliThriving in Hyper-Growth: Immerse yourself in the dynamic environment of a hyper-growth startup, where you'll encounter daily challenges and avenues for professional advancement. /liliCutting-Edge Collaboration: Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation. /liliPositive Workplace Culture: Experience a professional yet enjoyable atmosphere, where hard work is valued alongside a sense of humor and camaraderie, fostering a fulfilling work environment. /li /ulpBenjamin is reshaping the future of cash rewards with a simple idea: everyday actions should earn you cash. Whether you’re making a purchase, playing a mobile game, or watching an ad, you get rewarded with Benjamin Money Moments. It’s that simple. /ppWe 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, or disability status. /p /p #J-18808-Ljbffr

📌 Senior Data Scientist (Bellprat)
🏢 benjamin
📍 Bellprat