Product Data Scientist

Partner day-to-day with Home Improvement Product Managers as their embedded data science and analytics resource. Design, run, and interpret experiments (A/B and quasi-experimental) across the borrower funnel. Define and own the metrics framework for the Home Improvement product line. Build and maintain data pipelines and models to be self-sufficient for most analyses.

5+ years of experience in a hybrid analytics/data science role with a track record of directly informing product decisions. Strong grounding in statistics and experimentation, fluent in SQL and at least one scripting/statistical language (Python or R). Bachelor's degree or higher in a quantitative field or equivalent combination of education and experience.