Lead, Product Experimentation, Media Group

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive. As an individual contributor Lead for Statistical Inference & Research, you will serve as the principal architect and subject-matter expert for the experimentation platform’s statistical engine. You’ll design, implement, and optimize advanced statistical methodologies that underpin how we measure, learn, and innovate through experimentation. Your frequent hands-on analysis of current and historical experiments will be critical to uncovering insights, reducing noise, and continually improving our approach to causal inference. Key Responsibilities Statistical Engine Leadership Design, maintain, and implement core inference capabilities (A/B, CUPED, sequential/adaptive methods, variance reduction, diagnostics) within our experimentation platform. Ensure all methodologies are robust, scalable, and production-ready. Methodological Innovation & Signal Optimization Conduct frequent statistical analysis on live and historical experiment data to optimize detection of real effects, reduce variance, and enhance signal purity. Research, prototype, and validate new statistical techniques, including handling zero-inflated data, covariate adjustment, multiple hypothesis correction, and causal inference. Lead the design and execution of simulations, backtests, and validation studies for inference engine upgrades. Data Engineering Collaboration & Implementation Build, optimize, and deploy statistical methodologies into production data pipelines and analytics workflows. Work directly with data engineering teams to define requirements, data models, and ensure successful scaling and integration of new methods. Data Science Enablement Mentor and guide analytics and data science teams on experimental design, statistical troubleshooting, and the use of advanced inference methods. Translate complex statistical innovations into clear technical documentation, best practices, and internal training resources. Advise on design and analysis of high-impact experiments across the company. Technical Leadership & Roadmap Identify platform opportunities and challenges; contribute to roadmap planning and technical strategy.