Senior Product Data Scientist — Drive Data-Driven Revenue

Visa Hunt; Northern (KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Remote work

4–5 weeks PTO

Desk at a coworking space

Workspace budget

Learning stipend

Job summary

RevenueCat is seeking a Senior Product Data Scientist to drive data-informed product decisions. You will analyze usage data, build predictive and descriptive models, and influence roadmaps with measurable insights.

Collaboration with Product, Engineering, and Analytics will shape features like LTV prediction and experimentation at scale. You will own analyses end-to-end, write production-ready Python, and communicate results to diverse stakeholders while thriving in a remote-first environment

Qualifications

• 5+ years experience as a Data Scientist.
• Strong SQL and data modeling skills.
• Experience building production-grade models.
• Production-ready Python code experience.
• Solid understanding of statistics and experimentation.
• Ability to communicate complex ideas clearly.

Responsibilities

• Proactively explore RevenueCat data to identify problems and opportunities.
• Translate business questions into analyses and models.
• Partner with Product Managers to shape roadmaps.
• Design, build, and ship production models powering features.
• Define and evaluate experimentation and forecasting approaches.
• Communicate insights to technical and non-technical audiences.
• Iterate on models based on real-world feedback.

Skills

SQL

Python

Statistics

Experimentation

Data modeling

Communication

Education

5+ years Data Scientist

Tools

PostgreSQL

Snowflake

dbt

AWS

Job description

RevenueCat is seeking a Senior Product Data Scientist to drive data-informed product decisions. You will analyze usage data, build predictive and descriptive models, and influence roadmaps with measurable insights.

Collaboration with Product, Engineering, and Analytics will shape features like LTV prediction and experimentation at scale. You will own analyses end-to-end, write production-ready Python, and communicate results to diverse stakeholders while thriving in a remote-first environment