Senior Product Data Scientist, Media Services

What you'll do

• Own and drive the data science strategy for product, business, and creative teams.
• Translate complex user engagement findings into actionable recommendations for content and subscription services.
• Architect and scale experimentation frameworks for A/B tests and observational studies.
• Apply advanced ML causal inference techniques to measure product impact in non-randomized settings.
• Develop ML models for customer scoring, segmentation, and lifetime value estimation.
• Leverage LLMs and GenAI tools to develop innovative solutions for content and customer experience challenges.
• Lead the definition and prioritization of data infrastructure and tooling roadmaps.
• Set technical direction and mentor data scientists across the organization.

What we're looking for

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 7+ years of experience extracting insights from large datasets using Python and SQL.
• 7+ years of experience using statistical methods for classification, segmentation, forecasting, and customer lifetime value.
• Demonstrated experience architecting and scaling experimentation platforms, including hypothesis testing and metric tracking.
• Strong expertise in causal inference methods such as synthetic control, diff-in-diff, and propensity score matching.
• Proven track record of building and deploying ML models that drive business decisions and product outcomes.
• Master's or PhD in a quantitative field (preferred).
• Experience productionizing ML models, using LLMs/GenAI, or working in the media/entertainment industry (preferred).