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 or decision science. You should have a strong grasp of the "modern data stack" (Snowflake, dbt) and a deep interest in marketplace dynamics. The team values candidates who can bridge the gap between technical execution—like building data pipelines and coding in Python—and strategic influence by partnering with Product and Engineering leads. The compensation is highly competitive ($175k–$240k base) and comes with a robust benefits package, including a 4% 401k match, 16 weeks of parental leave, and a unique "dogfooding" budget to shop on the platform. While the company supports some remote work, this is a **remote co-located** model requiring you to live within commuting distance of their hubs in SF, NY, LA, or Seattle for in-person collaboration. **You might be a good fit if you:** * Expertly navigate SQL and Python to extract insights from complex user behavior. * Have a proven track record of designing and interpreting A/B tests to drive product roadmaps. * Enjoy a fast-paced environment where you own projects from data instrumentation to executive presentation. * Are excited about the intersection of live streaming, community, and e-commerce.