Senior Data Scientist

• 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

• Data: Snowflake, BigQuery, Postgres, dbt
• 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.

• 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, * 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.

_About Benjamin

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.