Senior Data Scientist

Benjamin; Finland; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive pay

Hyper-growth environment

Cutting-edge collaboration

Positive workplace culture

Job summary

Benjamin is a fast-growing fintech rewards startup seeking a Senior Data Scientist to elevate our MoMo ecosystem. You will frame problems, build production-ready models, and optimize rewards to drive engagement and revenue.

You will own experiments, validate causal impact, and ship models via APIs or batch jobs. Collaboration with cross-functional teams and mentorship are key to advancing ML engineering at Benjamin.

Qualifications

• Strong statistical judgment with experimentation and causal inference.
• Proven track record of models delivering real business impact.
• Experience with recommendations, ranking, forecasting, uplift, or causal methods.
• Built and operated reliable production data pipelines.
• Able to ship work into production using cloud platforms and standard software dev practices.
• Clear communication and ownership across teams.

Responsibilities

• Identify high-impact problems and frame metrics before modeling.
• Improve rewards, incentives, and pricing to boost engagement and conversion.
• Real-time recommendation and content ranking for users.
• Own experiments and measurement across product and marketing channels.
• Turn ideas into a production data product, not just documentation.
• Build features, datasets, and evaluation pipelines for models.
• Deploy models as batch jobs or APIs with reliable training and inference.
• Mentor teammates and raise ML engineering standards at Benjamin.

Skills

Strong statistical judgment

Production experience

Recommendation & ranking methods

Experimentation & causal inference

Cloud & software engineering basics

Effective communication & ownership

Tools

Hex

GitHub Actions

Git

Airbyte

Claude

Job description

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 Senior 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 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
• Bias toward simple, practical solutions. Strong communication and ownership

Our stack

• Cloud/infra: AWS (GCP), Terraform, Docker
• Languages: Python, SQL, TypeScript
• Tooling: Hex, GitHub Actions, Git, Airbyte, Claude

You 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.

Why Join Us?

• Competitive pay: We offer great salaries and bonuses.
• Thriving 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.
• Cutting-Edge Collaboration: Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation.
• Positive 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.

Benjamin 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.

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, or disability status.