Associate Director, Product Data Science

Substantial experience (typically 10+ years) in data analytics or data science roles with a strong focus on product and/or growth for digital products. Experience (typically 3+ years) managing and mentoring data scientists or product analysts. Deep experience using experimentation to drive growth, including designing and interpreting A/B tests. Comfortable owning and refining a metric tree / KPI hierarchy. Fluent in growth thinking, mapping acquisition and activation funnels, and identifying friction points. Experience using modeling and causal inference. Comfortable diving into SQL and Python code. Experience working with a modern data stack (cloud data warehouse, dbt, BI tool like Looker).

Set vision for how product data science drives growth, especially in acquisition and activation funnels. Partner with Product, Design, and R&D teams to align on metric tree and measures of success. Design and refine how the product data science team operates within R&D. Manage and develop a team of data scientists, including performance reviews and career development. Design and maintain experimentation and measurement frameworks. Collaborate with Data Analytics and Analytics Engineering to ensure consistent metric implementation.