Stephanie Lane is a Senior Manager in Data Science & Engineering with a decade of experience applying causal inference, experimentation, and scalable ML to product personalization and growth, currently leading teams that shape Netflix’s core discovery across TV and mobile. She combines deep academic training (PhD in Quantitative Methods with a biostatistics minor) with practical tooling and platform-building—authoring open-source R packages earlier in her career and creating internal tooling to democratize time series and synthetic control methods. Her background spans high-stakes applied statistics at the Institute for Defense Analyses and hands-on product science at Netflix, where she designed geo-randomized quasi-experiments and centralized hiring and training for data science. Known for translating complex longitudinal and hierarchical models into actionable product insights, she brings a rare mix of rigorous methodology, engineering delivery, and people leadership.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Quantitative Methods in Psychology and Neuroscience Minor in Biostatistics, Doctor of Philosophy (PhD) Quantitative Methods in Psychology and Neuroscience Minor in Biostatistics at University of North Carolina at Chapel Hill
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Stephanie Lane - Senior Manager, Data Science & Engineering