Data Scientist II

Role Overview

As a Data Scientist II on the Rentals Data Science – Shopping team, you will partner with product, engineering, design, and machine learning teams to solve high-impact problems in the rental shopping experience. You will use data to shape product strategy, design experiments, and uncover opportunities to help renters find and choose their next home with confidence.

Key Responsibilities

• Partner with cross-functional teams to define and refine metrics that drive improvements across the rental shopping funnel, from search and discovery through contact and conversion
• Design, run, and analyze A/B tests and other experiments using statistical and causal inference methods to understand renter behavior and measure product impact
• Work with large-scale behavioral and clickstream datasets to generate insights that inform product strategy and roadmap decisions
• Translate complex analyses into clear, compelling recommendations that influence product direction and prioritization
• Own analytical projects end-to-end, from problem framing and scoping through methodology selection, execution, and communicating results
• Leverage modern AI, internal platforms, and data tooling to automate and streamline workflows

Requirements

• Bachelor's or Master's degree in a quantitative field (Statistics, Economics, Engineering, Data Science) or equivalent practical experience
• 3+ years of experience in data science, ideally in a product-focused environment where you've influenced roadmap or feature decisions
• Strong foundation in statistics, experimentation, and causal inference with hands-on A/B testing experience
• Experience working with event or clickstream data (e.g., Google Analytics) and large-scale datasets
• Proficiency in Python and SQL with ability to build robust analyses in production-scale data environments
• Ability to independently scope and structure ambiguous problems and deliver clear, impactful insights
• Strong communication skills and ability to build collaborative relationships with cross-functional partners