Data Scientist, Product Analytics at whatnot

This role is ideal for a mid-to-senior Data Scientist with at least 3 years of experience in product analytics, specifically within a marketplace or consumer-tech environment. You should have a strong grasp of A/B testing and causal inference, combined with the technical ability to build your own data pipelines using SQL, Python, and dbt. The compensation package is highly competitive, offering a base salary of **$185k - $240k plus equity**. While the role is listed as remote-first, there is a geographical requirement: you must live within commuting distance of their hubs in **San Francisco, New York, Los Angeles, or Seattle** for occasional in-person collaboration. Perks include a "dogfooding" budget to shop on the app, a 4% 401k match, and 16 weeks of parental leave. **You might be a good fit if you:** * Have mastered SQL and Python/R for analyzing complex user behavior and marketplace dynamics. * Enjoy partnering directly with Product Managers to design experiments and define KPIs from scratch. * Thrive in fast-paced, high-growth "startup" environments where you have high autonomy. * Are comfortable moving between high-level strategy and hands-on data engineering (dbt/Snowflake).