Senior Data Scientist, Fraud & Risk

About You

You are a Senior Data Scientist who cares deeply about impact and has direct experience with the kind of models that carry real financial consequence. From a skills perspective, you bring:

• 5+ years of data science experience, ideally with a strong background in fintech, credit, lending, or payments.
• Deep expertise in fraud and/or underwriting. You know how to build models that balance risk and growth, and you understand the nuances of financial data.
• Highly analytical and technical. You are an expert in SQL and Python. You can build, deploy, and monitor models in production. You don't wait for someone else to pull the data.
• Understanding of mobile apps or developer ecosystems, or you're eager to learn this space and how apps earn money at scale.
• Act like an owner. You aren't afraid to roll up your sleeves and get something done yourself. You treat RevenueCat's balance sheet, product, and brand like it's your own.
• Thrive in ambiguity. You are comfortable making low-information, high-stakes decisions. You can quickly get to confidence, move on, and iterate.
• Systems thinker. You can step back from the particular and see the process. You look for opportunities to automate and build things that scale, when you've had enough signal to know that you should.
• Know when it's good enough. You are obsessed with getting things right, but you know when you're at diminishing returns. You balance detail, speed, and ambition without losing sight of impact.

What success looks like

In The First Month, You'll

• Understand how Daily Payouts works today and what data powers it.
• Get to know the team and the current state of our underwriting and fraud approach.
• Form your own point of view on where the biggest gaps are.

Within The First 3 Months, You'll

• Have a baseline fraud detection model in production. Imperfect is fine, measurable is required.
• Learn the basics of incident response, and be part of the on-call rotation.
• Work with Product and Engineering to integrate risk signals into real customer flows.
• Define what "better" looks like so we have something to improve against.

Within The First 6 Months, You'll

• Own the underwriting and fraud detection systems end to end.
• Influence the RC Capital product roadmap with data-backed proposals on what to build next.
• Be the person who knows best how RevenueCat's revenue data translates into financial risk signals.

Within The First 12 Months, You'll

• Lead new Data initiatives as the Capital product line expands beyond Daily Payouts.
• Help shape how Data Science operates within Capital as the team grows.
• Have had a material impact on how RevenueCat deploys capital and manages risk at scale.

What We Offer

• 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 and flexible work environment
• 4-5 weeks of suggested time off annually for mental, physical, and emotional recharge
• $2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning