Partner with Product, Engineering, Design, and Machine Learning (ML) 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 for cross-functional partners.
Own analytical projects end-to-end, from problem framing and scoping through methodology selection, execution, and communicating results and tradeoffs.
Leverage modern AI, internal platforms, and data tooling to automate and streamline workflows, improving efficiency and scaling your impact across the team.

Requirements

Bachelor’s or Master’s degree in a quantitative field (e.g., 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, including hands-on experience designing and analyzing A/B tests.
Experience working with event or clickstream data (e.g., Google Analytics or similar tools) and large-scale datasets to understand user behavior.
Proficient in Python and SQL and comfortable building robust analyses in production-scale data environments.
Ability to independently scope and structure ambiguous problems, delivering clear, impactful insights that help stakeholders make better decisions.
Ability to communicate complex technical concepts in an accessible way and build strong, collaborative relationships with cross-functional partners.

Benefits

equity awards based on factors such as experience, performance and location

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencestatisticsexperimentationcausal inferenceA/B testingPythonSQLdata analysislarge-scale datasetsbehavioral analysis

Soft Skills

problem framingcommunicationcollaborationindependent thinkinginsight generationinfluencestakeholder engagementclarity in recommendationsadaptabilitycritical thinking