Drive the long‑term data strategy for the Rentals Shopping pillar
Elevate statistical rigor, modeling, and experimentation practices across Rentals
Partner with product, engineering, and design leaders to translate complex analysis into clear, actionable product and business strategies
Lead analytical and modeling work across critical problem spaces such as rental search relevance, ranking, personalization, or marketplace efficiency
Design and guide robust A/B tests and other experimentation frameworks
Apply modern AI to increase data science velocity and improve model quality
Coach and mentor data scientists

Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science), or equivalent practical experience
Substantial experience (typically 8+ years) in quantitative analysis, advanced modeling, and experimentation at scale in consumer‑facing technology environments
Expert in SQL and Python
Experience applying statistical modeling (e.g., causal inference, time series) in big data environments such as Databricks or Snowflake.
Proven track record of shaping long‑term product roadmaps and driving meaningful business outcomes through data‑driven insights
Ability to influence senior cross‑functional leaders and turn complex analysis into clear, executive‑ready recommendations and action plans
High initiative and ownership: Comfortable leading in a complex business area with significant autonomy, setting direction and driving execution across partners.

Principal Data Scientist – Rentals Shopping

Key skills