Senior Data Scientist, Media Group Decision Sciences

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 ('Versant') 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.

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 a Senior Data Scientist on the Media Group Decision Sciences team, you will help design and deliver of data-driven insights and solutions that enhance audience engagement across streaming and linear platforms. This role involves close collaboration with data scientists, engineers, analysts, and stakeholders, and requires strong technical and communication skills to develop scalable solutions. By applying advanced statistical methods and machine learning techniques, you will drive improvements in content engagement, marketing efficiency, and distribution effectiveness, playing a key role in how the company reaches and retains its audiences.

Responsibilities:

• Develop and deliver impactful analytical solutions and tools using statistical modeling, machine learning, and data science techniques to uncover audience insights and support decision-making.
• Translate complex business problems into data-driven approaches by partnering with cross-functional teams (e.g. Advanced Analytics, Content Strategy, Consumer Insights, etc.) and communicating findings clearly to technical and non-technical audiences.
• Contribute meaningfully to project execution, including scoping, data exploration, modeling, validation, and documentation across both ad hoc and recurring workflows.
• Advance the team’s analytical rigor and technical standards by contributing to methodology development, peer reviews, and collaborative problem solving.
• Think critically and rigorously about leveraging available data effectively, identifying opportunities for deeper audience understanding and improved business outcomes.

• Bachelor’s or Master’s degree in a quantitative or technical field (e.g. Computer Science, Mathematics, Data Science, Economics, or related discipline).
• 2+ years of experience applying statistical and machine learning methods for inference and prediction in a professional setting.
• Proficiency in Python and SQL, with experience working in cloud-based data environments such as BigQuery or PySpark.
• Demonstrated experience using relational databases and applying data visualization techniques to communicate analytical insights.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional stakeholders, translating business needs to analytical approaches and delivering clear, actionable insights.
• Team-oriented and collaborative, with a proactive approach to problem-solving and learning.

Desired Characteristics:

• Experience designing and deploying scalable data and machine learning pipelines, ideally in cluster computing environments such as Databricks or Google Cloud Platform and orchestration tools like Airflow.
• Strong oral and written communication skills, with the ability to explain complex concepts to diverse stakeholder through clear narratives, well-structured documentation, and effective data visualizations using tools such as Tableau.
• Strong sense of curiosity, accountability, and execution, with the ability to lead and contribute to projects of various sizes with clarity and purpose.
• Enthusiastic about video, TV, and streaming content, with an interest in leveraging data to better understand audiences.

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

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: $120,000 - $150,000

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 and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].