Leads and mentors a US data science team while remaining hands-on with large-scale RTB and CTV datasets. Analyzes auction dynamics, identity, incrementality, supply-path optimization, cross-screen measurement, and performance analytics using SQL and Python or R. Partners with Product, Engineering, and global data teams to translate insights into product requirements, establish data governance standards, validate dashboards, and support strategic decisions.

Analyze large-scale CTV and programmatic bidstream data to optimize campaign delivery, bid shading, pricing, fill rates, inventory quality, and ROAS. Conduct statistical deep-dives, define metrics, build analytical workflows, and translate auction and viewing data into recommendations for commercial, programmatic operations, and product teams. Collaborate with data science and machine learning teams to validate hypotheses and measure optimization impact.

Lead product data science initiatives covering data quality, anomaly detection, identity resolution, attribution, experimentation, causal inference, and incrementality measurement. Partner with product managers and platform engineers to establish reliable metrics, analytical frameworks, and measurable KPIs. Develop SQL queries and Python or R prototypes for statistical solutions and metric pipelines, while communicating methodological trade-offs to technical and business stakeholders.