Senior Lead Research Scientist

Company Description

We create top-tier content, distributed globally through our range of film, television, and streaming platforms, brought to life in our theme parks and consumer experiences. We own and manage leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our superior ad-supported streaming service. We develop and disseminate premier filmed entertainment and programming via Universal Filmed Entertainment Group and Universal Studio Group, and we offer world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Here you can be your genuine self. As a company uniquely positioned to educate, entertain, and empower via our platforms, Comcast NBCUniversal advocates for including everyone. Our Diversity, Equity, and Inclusion initiatives, along with our Corporate Social Responsibility work, are guided by our employees, audiences, park guests, and the communities in which we operate. We aim to nurture a diverse, equitable, and inclusive environment where our employees feel supported, accepted, and heard. Together, we'll continue to create and distribute content that mirrors the current and ever-evolving global landscape.

Job Description

Our Direct-to-Consumer (DTC) portfolio is an influential collection of customer-first brands, backed by media industry leaders, Comcast, NBCUniversal, and Sky. As a member of our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming in over 70 countries worldwide. And the evolution isn’t over. Our teams leverage our unrivalled scale to cooperate, learn from each other, and seek innovative and faster ways to grow and provide the best possible consumer experience. Above all, we’re supported by a culture of respect. We embrace authenticity and inspire people to thrive.

We are looking for a passionate data scientist to collaborate with the Peacock Science & Technology Fellow on pivotal Peacock Decision Science ventures, propelling innovations and research in Machine Learning, Artificial Intelligence, and Media Science. If you are eager about continuously learning new technologies and quick to apply them to key company goals via swift prototyping and cross-functional team collaboration, this job is perfect for you.

In this role, you will utilize a broad spectrum of scientific methodologies, including deep learning, causal inference, reinforcement learning, generative AI, and pattern recognition. You will work closely with other data scientists and engineers to solve Peacock’s complex business challenges. This is a high-impact role that can shape research and innovation in a large organization.

Responsibilities include, but are not limited to:

• Champion research innovation and contribute to a culture of excellence in the brainstorming, rapid prototyping, design, analysis, and interpretation of research results
• Effectively utilize statistics, machine learning (with an emphasis on deep learning), reinforcement learning, generative AI, and pattern recognition to support teams in critical business areas and address challenging problems with a direct impact on company OKRs (Objective and Key Results)
• Collaborate with Data Science teams across Decision Science and Peacock’s wider business
• Balancing various priorities across business sectors and machine learning lifecycle projects
• Contribute to improvements in machine learning lifecycle infrastructure

Qualifications

• An advanced (Master or Ph.D.) degree specialized in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research, or another quantitative field or equivalent
• Over 4 years of combined experience in software development or data science
• Cloud experience, particularly in Cloud Machine Learning from AWS, Google, Microsoft, or other major cloud software providers
• Experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems
• Proficiency in Python
• Experience in data processing using SQL and PySpark, NoSQL, and AirFlow
• A solid understanding of the algorithmic complexity of model training and testing

Desired Characteristics:

• Experience with deep learning using TensorFlow
• Experience with Google AI Platform/Vertex AI, Kubeflow, and Airflow
• Experience in content streaming or commerce as a major contributor to AI/ML-powered product features and user experiences
• Experience with reinforcement learning based systems
• Knowledge of Go, Scala, or Java is a plus
• Familiarity with enterprise-level digital analytics platforms (e.g., Adobe Analytics, Google Analytics, etc.)
• Experience with large-scale video assets
• Ability to build trust throughout the organization and promote solutions and identified data insights
• A sense of pride and ownership in your work and your team's representation throughout NBCUniversal

This position has been designated as hybrid, typically involving work from the office for at least 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 benefits. Learn more about the benefits offered by NBCUniversal on our Benefits page. Salary range: $165,000 to $190,000 (bonus and long-term incentive eligible)

Additional Information

NBCUniversal's policy is to offer 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 law. NBCUniversal will consider for employment qualified applicants with criminal records in line with relevant legal requirements, such as the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

If you're 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 our careers website as a result of your disability. You can request reasonable accommodations by emailing [email protected].