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Senior Data Scientist

RevenueCat - Americas | Remote | EMEA

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Senior Data Scientist Americas | Remote | EMEA RevenueCat removes the headaches of building and scaling in‑app subscriptions. 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 to the OpenAI mobile team understand and grow their revenue. We're a remote‑first crew of 150+, spread across 25+ countries, and guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions of end‑users (and help the developers behind them get paid), you'll fit right in. 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. 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

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