Revenuecat
Senior Data Scientist, Product
Remote work allowed only within certain countries or regions.
North America, Europe
Employer listed it 2 months ago · Added 5 days ago
Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$220,000
Location
North America, Europe
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Data
Published by the employer
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in North America, Europe.
What the employer says
- Source listing states candidate location: "Americas, EMEA, Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
The role
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.
What you will do
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.
About you
You are a Senior Data Scientist who cares deeply about impact and product outcomes.
From a skills perspective, you bring:
5+ years of experience working as a Data Scientist.
Strong SQL skills and comfort with data modeling.
Requirements
- ·You are a Senior Data Scientist who cares deeply about impact and product outcomes.
- ·From a skills perspective, you bring:
- ·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.
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
- ·A fully remote environment designed around autonomy and flexibility
- ·4-5 weeks of flexible time off annually
- ·Paid desk at a co-working space
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Revenuecat, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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