Associate Director, Product Data Science

Data Science Leadership:

• Provide leadership and guidance to the product data science team.
• Set the vision for how data science drives growth, particularly in acquisition and activation.
• Manage and develop a team of data scientists, fostering their technical and strategic skills.

Experimentation & Analysis:

• Design and refine experimentation and measurement frameworks.
• Identify high-quality growth opportunities through experimentation and analysis.
• Use modeling and causal inference to identify key metrics and focus experiments.

Cross-functional Collaboration:

• Partner with Product, Design, and other R&D teams to refine the metric tree.
• Collaborate with Data Analytics and Analytics Engineering for consistent metric implementation.
• Work with stakeholders to translate challenges into data science projects and roadmaps.