RevenueCat
Senior Data Scientist
Americas · Senior
Sponsorship not specifiedDetected 17 hours ago
PythonSQLPostgreSQLSnowflakedbtData EngineeringData ScienceStatisticsA/B Testing
About the role
- We are looking for a Senior Data Scientist who is deeply product-minded and highly proactive.
- This is not a role for someone who waits for perfectly defined questions or works in isolation.
- We are looking for someone who actively looks at our data, understands our customers' pain points, identifies opportunities, and pushes ideas forward.
Responsibilities
- Partner with Product Managers to shape roadmaps, not just execute on them.
- Design, build, and ship production-grade predictive and descriptive models that power customer-facing features.
- This role has real ownership. You will not just support decisions, you will help drive them.
- Experience building and deploying predictive and descriptive models in production.
- Propose and lead entirely new data-driven product initiatives.
Requirements
- You are a Senior Data Scientist who cares deeply about impact and product outcomes.
Skills
- 5+ years of experience working as a Data Scientist.
- Strong SQL skills and comfort with data modeling.
- Experience writing or collaborating on production-ready Python code.
- A solid understanding of statistics and experimentation, ideally including Bayesian approaches.
- The ability to clearly explain complex ideas and results to broad audiences.
- Our data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS.
Compensation
- Since graduating from YC's S18 batch we've grown into the default monetization platform for mobile: we're in >40% of newly shipped subscription apps, we process $12B+ in annual purchase volume, and we help everyone from a solo dev in Brazil
Benefits
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- $2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning
- Fully remote and flexible work environment
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