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Lead, Product Experimentation, Media Group

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

Job Description

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.

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 employee’s 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: $115,000 - $145,000 (bonus and long-term incentive eligible)

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. 

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].

For LA County and City Residents Only:  NBCUniversal will consider for employment  qualified applicants with criminal histories, or arrest or conviction records, in a manner  consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

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Average salary estimate

$130000 / YEARLY (est.)
min
max
$115000K
$145000K

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We are in business to create and deliver content so compelling it entertains, informs and shapes our world. We believe that the talent, creativity and diversity of our people are our greatest resources. We take our business seriously, but do no...

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Full-time, remote
DATE POSTED
June 17, 2025

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