Senior Data Scientist, Product

RevenueCat
Americas, EMEA, United States, United Kingdom
Workplace: RemoteFull timeUSD 220,000 - 220,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Proactive","Communication","Product-minded","Works with ambiguity","Customer value focus"]

Own end-to-end, production-grade data science that powers customer-facing features like LTV prediction, experimentation, benchmarking, and new data-driven product initiatives. Work closely with Product, Engineering, and Analytics to translate ambiguous business questions into analyses, models, and recommendations, define statistical approaches for experimentation/forecasting, and communicate results clearly to technical and non-technical partners. Continuously iterate based on real-world usage and feedback using a Python/PostgreSQL/Snowflake/dbt/AWS stack.

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FursaFursa
RevenueCat
RevenueCat
1 month ago

Senior Data Scientist, Product

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Own end-to-end, production-grade data science that powers customer-facing features like LTV prediction, experimentation, benchmarking, and new data-driven product initiatives. Work closely with Product, Engineering, and Analytics to translate ambiguous business questions into analyses, models, and recommendations, define statistical approaches for experimentation/forecasting, and communicate results clearly to technical and non-technical partners. Continuously iterate based on real-world usage and feedback using a Python/PostgreSQL/Snowflake/dbt/AWS stack.
Location: Americas, EMEA, United States, United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Explore RevenueCat’s data to identify customer problems, opportunities, and product bets.
  • •Translate ambiguous product/business questions into clear analyses, models, and recommendations.
  • •Partner with Product Managers to shape roadmaps and influence product direction through data.
  • •Design, build, and ship production-grade predictive and descriptive models for customer-facing features.
  • •Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting, and communicate insights to technical and non-technical audiences.

Pay and Benefits

Salary: USD 220,000 annually
Equity and Bonus:Equity
Perks:Remote WorkTime OffLearning BudgetWorkspace Setup

Key Requirements

  • •5+ years of experience working as a Data Scientist.
  • •Strong SQL skills and comfort with data modeling.
  • •Experience building and deploying predictive and descriptive models in production.
  • •Experience writing or collaborating on production-ready Python code.
  • •A solid understanding of statistics and experimentation, ideally including Bayesian approaches.
Experience:5+ yearsMobile subscriptionsConsumer subscription ecosystem
Skills:ProactiveCommunicationProduct-mindedWorks with ambiguityCustomer value focus
Tech Stack:PythonPostgreSQLSnowflakeDbtAWSLTV predictionExperimentationStatistical significanceForecastingBenchmarking

Company Brief

RevenueCat
Provides a subscription infrastructure platform for mobile and web apps to manage in-app purchases, receipts, analytics, and customer entitlements, simplifying revenue management and integrations across platforms and payment providers.
Industry: Fintech Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Boston, United States
WebsiteLinkedIn