Senior Product Data Scientist — Remote, Impact-Driven

Bazeta; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive equity

Remote-friendly

Flexible time off

Co-working desk stipend

Job summary

RevenueCat is seeking a Senior Product Data Scientist in the United States. You will proactively shape data-driven product decisions, partnering with Product, Engineering, and Analytics to power customer-facing features such as LTV prediction and experimentation.

You will work with a Python backend, PostgreSQL, Snowflake, dbt, and AWS in a remote-first, globally distributed team. The role emphasizes impact, ownership, and data-driven product direction.

Qualifications

• 5+ years experience as a Data Scientist or similar role.
• Strong SQL skills and data modeling experience.
• Experience building and deploying predictive and descriptive models in production.
• Proficiency with Python and production-grade code.
• Solid understanding of statistics and experimentation (Bayesian a plus).
• Ability to explain complex results to broad audiences.

Responsibilities

• Proactively explore RevenueCat’s data to identify problems, opportunities, and bets.
• Translate ambiguous questions into analyses, models, and recommendations.
• Partner with Product Managers to shape roadmaps and impact.
• Design, build, and ship production-grade models powering customer-facing features.
• Define and evaluate experimental approaches for benchmarking and forecasting.
• Communicate insights clearly to technical and non-technical audiences.
• Iterate on models and features based on real-world feedback.

Skills

5+ years experience

SQL

Production-ready models

Python coding

Statistics & experimentation

Bayesian approaches

Clear communication

Tools

PostgreSQL

Snowflake

dbt

AWS

Job description

RevenueCat is seeking a Senior Product Data Scientist in the United States. You will proactively shape data-driven product decisions, partnering with Product, Engineering, and Analytics to power customer-facing features such as LTV prediction and experimentation.

You will work with a Python backend, PostgreSQL, Snowflake, dbt, and AWS in a remote-first, globally distributed team. The role emphasizes impact, ownership, and data-driven product direction.