Senior Product Data Scientist – Remote, Impactful ML

RevenueCat, Inc.; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Fully remote

Generous time off

Desk at a co-working space

Learning stipend

Job summary

RevenueCat, Inc. is seeking a Senior Product Data Scientist who is deeply product-minded and proactive.

You will collaborate with Product, Engineering, and Analytics to shape data-driven features such as LTV prediction, experimentation, and benchmarks, powering customer-facing capabilities. You will own models in production, translate questions into analyses with clear hypotheses, and influence product direction through data.

Qualifications

• 5+ years of experience as a Data Scientist.
• Strong SQL skills and data modeling comfort.
• Experience building and deploying predictive/descriptive models in production.
• Experience writing or collaborating on production-ready Python code.
• Solid understanding of statistics and experimentation, ideally Bayesian.
• Ability to explain complex ideas to broad audiences.

Responsibilities

• Proactively explore RevenueCat’s data to identify customer problems and opportunities.
• Translate ambiguous problems into analyses, models, and recommendations.
• Partner with Product Managers to shape roadmaps, not just execute on them.
• Design, build, and ship production-grade predictive/descriptive models for customer features.
• Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.
• Communicate insights clearly to technical and non-technical audiences.

Skills

5+ years data science experience

SQL

Python

Statistics & experimentation

Communication of results

Tools

PostgreSQL

Snowflake

dbt

AWS

Job description

RevenueCat, Inc. is seeking a Senior Product Data Scientist who is deeply product-minded and proactive.

You will collaborate with Product, Engineering, and Analytics to shape data-driven features such as LTV prediction, experimentation, and benchmarks, powering customer-facing capabilities. You will own models in production, translate questions into analyses with clear hypotheses, and influence product direction through data.