Senior Data Scientist, RevenueCat
Product
$220k
+ Equity
In-app subscription platform
Open for applications
In-app subscription platform
21-100 employees
Open for applications
$220k
+ Equity
21-100 employees
Company mission
Help developers make more money.
Role
Who you are
- You are a Senior Data Scientist who cares deeply about impact and product outcomes
- 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
- The ability to clearly explain complex ideas and results to broad audiences
- You are highly proactive and opinionated, and you are comfortable pushing ideas forward
- You enjoy working with messy, real-world data and imperfect information
- You care more about creating customer value than academic elegance
- You are comfortable operating in ambiguity and building structure where none exists
- You enjoy working closely with Product teams and influencing decisions
- You are excited by the consumer subscription ecosystem and curious about how developers make money
What the job involves
- We are looking for a Senior Product 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
- You will work closely with Product, Engineering, and Analytics to shape what we build, why we build it, and how we measure success. Your work will directly power customer-facing features such as LTV prediction, experimentation and statistical significance, benchmarking, and entirely new data-driven products we have not built yet
- You will be expected to bring ideas to the table, backed by analysis and clear hypotheses, and to influence product direction through data
- Our data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS
- Proactively explore RevenueCat’s data to identify customer problems, opportunities, and product bets
- Translate ambiguous product and business problems and questions into clear analyses, models, and recommendations
- 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
- Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting
- Communicate insights clearly and persuasively to technical and non-technical audiences, with a focus on customer impact
- Continuously iterate on shipped models and features based on real-world usage and feedback
- This role has real ownership. You will not just support decisions, you will help drive them
- In the first month, you'll:
- Understand our data models
- Get to know the team
- Ramp up on the ongoing data feature work
- Implement and ship your first project
- Within the first 3 months, you'll:
- Meaningfully contribute to shipping a data feature to thousands of developers
- Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features
- Launch your own explorations into our data to fulfill your own curiosity
- Within the first 6 months, you'll:
- Own one or more core data-powered features end to end
- Influence the data feature roadmap with clear, data-backed proposals
- Be a go-to partner for product teams on data-driven decision making
- Within the first 12 months, you'll:
- Propose and lead entirely new data-driven product initiatives
- Push the boundaries of how RevenueCat uses data to help developers grow revenue
- Help shape how data science operates at RevenueCat as the function grows
Our take
RevenueCat was founded by developers who understood the complexities of scaling a subscription app firsthand. The company’s software development kit (SDK) solution gives companies the tools they need to build a subscription business for Android and iOS.
Although similar subscription companies exist, RevenueCat’s main differentiator is that its application processing interface is easy to use for developers and accessibly priced - RevenueCat charges a small percentage of an app’s sales instead of a flat fee.
Top companies like VSCO, Notion, WidgetSmith, Buffer, and Fishbrain use RevenueCat to power their subscriptions at scale, and the company is now handling subscriptions for millions of mobile subscriptions across thousands of apps. It continues to expand operations and make new partnerships towards bettering its capabilities for the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
May 2025
$38m
SERIES C
Apr 2024
$12m
SERIES C
Total funding: $106.7m
Company 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
- Fully remote work environment that promotes autonomy and flexibility
- Suggested 4 to 5 weeks time off to recharge and focus on mental, physical, and emotional health
- $2,000 USD to build your personal workspace
- $1,000 USD annual stipend for your continuous learning and growth
Company values
- Customer Obsession
- Always Be Shipping
- Own It
- Balance
Articles
Leadership
Jacob Eiting
(Co-Founder & CEO)Background as CTO at Elevate Labs and Software Engineer at Mino Games & Apple.
Miguel Carranza
(Co-Founder & CTO)Previously the Director of Engineering at Elevate Labs and a Software Engineer at MindSnacks.
Share this job
View 17 more jobs at RevenueCat