About this role

Drive the long‑term data strategy for the Rentals Shopping pillar, using deep analysis of consumer behavior and market dynamics to identify high‑impact growth opportunities and inform the product roadmap
Elevate statistical rigor, modeling, and experimentation practices across Rentals to enable high‑confidence decision‑making
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 to measure the impact of new features and optimizations in the rental shopping experience
Apply modern AI (including LLMs and agentic workflows) to increase data science velocity, improve model quality, and scale intelligent user-facing solutions across the Rentals marketplace
Coach and mentor data scientists, providing technical leadership and helping to unblock complex analytical and modeling challenges.

Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science)
Substantial experience (typically 8+ years) in quantitative analysis, advanced modeling, and experimentation at scale in consumer‑facing technology environments
Expert in SQL and Python, with 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.

Principal Data Scientist – Rentals Shopping

Key skills