Director, Data Science

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.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. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here (https://corporate.comcast.com/values/diversity-equity-inclusion/our-impact) to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.Positions available at NBCUniversal Media, LLC (30 Rockefeller Plaza, East Building/16, New York, NY 10112) for Director, Data Science with the following job duties:

Responsible for creating analytical solutions for one or more verticals of the Peacock Video Streaming Service including, but not limited to, recommender systems, automated marketing, personalized advertisement, commerce and revenue, optimization systems, and customer journey and CRM solutions.

Serve as a technical lead in advanced statistical and machine learning methodologies and manage a team of data scientists to create analytical solutions for multiple business verticals.

Develop and execute a comprehensive personalization strategy aligned with company goals. Leverage user behavior data to enhance user retention and engagement. Drive the collection and manipulation of new data and the refinement of existing data sources.

Understand the difference between inferential and predictive models to apply methods in both areas.

Collaborate with cross-functional teams, such as Data Engineering, Product and business stakeholders, to identify data driven solution and deliver actionable insights. Translate complex problems and solutions to all levels of the organization.

Drive innovation of the statistical and machine learning methodologies and tools used by the team.

Recruit, hire, and train junior data scientists and foster their professional development.

Hybrid work schedule (minimum 3 days in office).

Basic Requirements:

Must have a minimum of a Master’s degree, or foreign equivalent, in Data Science, Computer Science, Statistics, or a related field, and at least 7 years of experience in the job offered or at east 7 years of experience in data science and analytics.

Stated experience must include at least 7 years of experience in the following: developing and implementing machine learning model solutions, including risk propensity models, customer lifetime value models, recommender systems and personalization/Next Best Action algorithms to guide user interactions and content choices; experience in programming languages (Python, PySpark, SQL) including ability to design patterns, write efficient and reusable code, and apply secure coding practices; experience with data technologies such as Hadoop, Spark, and cloud-based data solutions (e.g., GCP, AWS, Azure); experience in model productization and deployment using tools, including .Net microservices, Docker, Kubernetes, Airflow, MLflow, or Jenkins; and experience with DevOps practices, CI/CD pipelines, ML infrastructures and data governance procedures.

Must have at least 4 years in a leadership role, including experience managing teams, internal external stakeholders, and presenting to C-suite levels.

Must also have at least 3 years of experience in the following: Adobe Clickstream, mParticle, and media/streaming first-party data management; and experience in the streaming or media industry, with a specialization in advanced analytics and data science applications for developing strategies around customer and content.

We are offering a salary range of $200,000 per year to $240,000 per year, depending upon qualifications.

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Certifying Officer

U.S. Department of Labor

Employment and Training Administration

Office of Foreign Labor Certification

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Room N-5311

Washington, DC 20210

If interested in this position, please email resume to: Elsbeth Velasco-Fulgencio at elsbeth.velasco@nbcuni.com, and indicate you are applying for the Director, Data Science (SC24IP) opening. NBCU is an EOE.

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