Join 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 Data Scientist to help us take things to the next level.

At 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.

What you’ll do

Find 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?"

Optimize rewards and incentives directly — uplift modeling and reward/pricing optimization that grows engagement and conversion without wasting spend

Recommend and rank offers and content in real time — the right offer for the right user at the right moment

Own experimentation and measurement across product and paid acquisition — causal impact, incrementality, and attribution (MMM and multi-touch)





Take problems zero-to-one — turn a blank-slate idea into a production data product, not a Confluence page

Build features, labels, training datasets, and evaluation pipelines

Ship models as batch jobs, APIs, services, or product features — and keep training, validation, and inference running reliably without hand-holding

Mentor the team and set the standard for ML engineering at Benjamin

What we’re looking for

Strong statistical judgment: you know experimentation, causal inference, and model evaluation cold, and you use them to decide what's actually working

A track record of models that moved a real business metric. You frame problems around impact and can answer "so what?" about your own work

Experience with recommendations, ranking, forecasting, uplift, or causal methods

You've operated reliable pipelines in production, not just built them once

Comfortable getting your own work into prod

📌 Senior Data Scientist (Madrid)
🏢 benjamin
📍 Madrid