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. Were always looking for ways to innovate faster accelerate our growth and consistently offer the very best in consumer experience. But most of all were 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 platforms statistical engine. Youll 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.

Qualifications :

• 6 years in experimentation science applied statistics data science or data engineering with significant experience in large-scale digital experimentation or analytics platforms.
• Deep expertise in statistical inference for experimentation (randomization regression variance reduction sequential/adaptive methods multiple hypothesis correction causal inference etc.).
• Hands-on experience implementing statistical models and methodologies in production data systems (SQL Python R Spark Databricks).
• Demonstrated ability to build and optimize data pipelines and workflows in partnership with data engineering.
• Proven skill in analyzing large and complex experimental datasets to inform and optimize inference methodologies.
• Excellent communication and documentation skills with a track record of mentoring technical colleagues and cross-functional partners.
• Individual contributor technical leadership ideally within experimentation analytics or data engineering teams.

Desired Characteristics

• Deep intellectual curiosity and drive to improve experimentation at scale.
• Technical rigor and a strong sense of ownership from research to production delivery.
• Collaborative proactive and skilled at working across engineering data science and analytics functions.
• Able to distill and communicate complex statistical concepts to technical audiences.
• Thrives in a high-velocity innovative product organization.

Additional Requirements:

Fully Remote: This position has been designated as fully remote meaning that the position is expected to contribute from a non-NBCUniversal worksite most commonly an employees residence.

This position is eligible for company sponsored benefits including medical dental and vision insurance 401(k) paid leave tuition reimbursement and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.

Salary range: $115000 - $145000 (bonus and long-term incentive eligible)