Data Scientist, Product Analytics

3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization. Bachelor’s degree in Computer Science, Economics, Statistics, or related quantitative field or equivalent experience. Proven experience applying statistical and analytical methods to product problems. Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT. Proficiency with Python or R for data analysis, modeling, and experimentation. Experience designing and analyzing A/B tests and understanding causal inference techniques. Strong data visualization skills and familiarity with BI tools.

Define and own KPIs for product health and user engagement. Analyze user behavior and marketplace dynamics to identify opportunities. Design, implement, and evaluate A/B tests and feature rollouts. Build dashboards, data pipelines, and self-serve tools. Advocate for data-driven decision-making and foster a culture of measurement. Communicate insights clearly to technical and non-technical audiences.