metropolis · Los Angeles, California, United States
Skills: Python, SQL, AWS
Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Data Scientist, Growth Marketing to join our growing data team. In this role, you will serve as the primary quantitative partner to our Growth Marketing leadership, turning massive real-world transactional and behavioral datasets into engines for user acquisition, retention, and gross profit expansion. You bring a deep background in marketing measurement and causal inference, with proven experience building multi-touch attribution systems, modeling customer lifetime value (LTV), and designing rigorous marketing experiments. You excel not only at building complex predictive models, but also at translating high-level data insights into clear business strategies for cross-functional stakeholders across Growth, Product, and Finance. What you'll do Design, deploy, and refine predictive models for Multi-Touch Attribution (MTA), Customer Lifetime Value (CLV), and Customer Acquisition Cost (CAC) efficiency to guide multi-channel marketing budget allocation Conduct deep-dive cohort analyses and retention modeling to uncover drivers of user conversion, repeat behavior, and churn across our location-based growth funnel Lead the growth experimentation roadmap by designing, executing, and analyzing A/B tests, geo-experiments, holdout tests, and incrementality studies across digital and physical acquisition channels Pa…
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