Sr. Lead Research Scientist

Company Description

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.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.

Job Description

Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. 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. 

We are seeking a passionate data scientist to work together with the Peacock Science & Technology Fellow on critical Peacock Decision Science initiatives, boosting innovation and research in Machine Learning, Artificial Intelligence and Media Science. If you are enthusiastic about continuously learning new technologies and finding ways to quickly apply them to critical company objectives through rapid prototyping and cross-functional team collaboration, this job is ideal for you.

In this role, you will leverage a wide range 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 help address Peacock’s most complex business challenges. This is a high-impact role that allows you to influence research and innovation at a large organization.

Responsibilities include, but are not limited to:

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

Qualifications

• An advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research, or another quantitative field or equivalent
• 4+ years of combined experience in software development or data science
• Cloud experience, particularly in Cloud Machine Learning from AWS, Google, Microsoft, or another major cloud software provider
• 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 A