Lead Data Scientist
NBCUniversalAbout the role
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.
As part of the Direct-to-Consumer Decision Sciences team, the Lead Data Scientist will lead the creation of statistical and machine learning solutions for one or more of the content verticals of NBCU’s video streaming service.
In this role, the Lead Data Scientist will build and deploy machine learning solutions at scale to empower and optimize leadership’s and our research partners’ abilities to lift our enterprise metrics by best leveraging Peacock’s library, its individual content, and its content elements.
Responsibilities include, but are not limited to:
- Lead projects in the development of analytical models using statistical and machine learning methodologies
- Serve as a team expert in statistical methods and applied machine learning
- Drive the collection and manipulation of new data and the refinement of existing data sources
- Possess a strong understanding of the differences between inferential, predictive, prescriptive models and experience applying methods in all three areas
- Work with business stakeholders to define priorities, approaches and business requirements for data science solutions
- Translate complex problems and solutions to all levels of the organization
- Drive innovation of the methodologies and tools used by the team
Qualifications
- Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research, or another quantitative field
- 5+ years of combined experience in data science in industry or research
- Ability to work with stakeholders on ambiguous business problems to drive project ideas and turn them into rigorous solutions
- Solid knowledge of different classes of algorithms such as unsupervised learning, forecasting, neural networks, GenAI etc.
- Experience implementing scalable systems (Google Cloud preferred)
- Experience with Airflow or similar workflow management tools
- Experience using data visualization tools and techniques to deliver and present business insights and value
- Proficient in Python and SQL
Desired Characteristics:
- Experience implementing and owning end-to-end data projects with a diverse group of stakeholders
- Knowledge of enterprise-level digital analytics platforms (e.g. Tableau, Looker, etc.)
- Experience in a subscription and active user-driven business
- Strong oral and written communication skills to both technical and non-technical audience
- Drive for excellence yet willing to be scrappy and can deliver solutions when needed
- Team-oriente
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