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Manager, Data Science - HBO Max

Seattle, Washington, New York, United States, New York, Los Angeles, United States, California, United States
Full Time
Requisition ID: 178112BR

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HBO Max is the future of entertainment and storytelling.
WarnerMedia’s new streaming entertainment offering, HBO Max is the culmination of some of the most innovative new technology and greatest creative talent in the industry. Anchored by the entire HBO service, arguably the greatest brand in television, HBO Max also features fan favorites from the WarnerMedia library including Warner Bros., New Line, DC, CNN, TNT, TBS, truTV, Turner Classic Movies, Cartoon Network, Adult Swim, Crunchyroll, Rooster Teeth, Looney Tunes, and more. HBO Max will also be home to key third-party library acquisitions, such as Friends, South Park and Doctor Who, and more than 50 exclusive Originals in its first year, from the likes of groundbreaking creative talent such as J.J. Abrams, Ridley Scott, Jordan Peele, Steven Soderbergh, Michael Mann, Mindy Kaling, Reese Witherspoon, Anna Kendrick, Greg Berlanti, Melissa McCarthy, Robert Zemeckis, Ellen DeGeneres, and other visionaries.

The Job
The Manager, Data Science will be a part of the Data Science team responsible for the day to day output for WarnerMedia's streaming service.

As the Manager, Data Science, you will be responsible for using your expertise in advanced analytics and predictive modeling to guide your team to solve business challenges and enable our organization to make data driven decisions. You will be responsible for leveraging your domain knowledge in combination with math and statistical knowledge to conduct analyses, build models, and synthesize results across various data sources which will be shared with internal and external stakeholders across all levels. You will be part of a team whose goal is to improve how we create, market, and distribute our content, our service, and interact with our customers.

The Daily
  • Guide the team to apply datamining, machine learning and/or deep learning techniques for a variety of modeling and relevance problems, including but not limited to customer behavior/lifecycle model, LTV model, content evaluation, and content recommendation
  • Understand the data and lead the ETL process to utilize large volumes of first party, second party, and third-party data for modeling purpose
  • Collaborate with ML Engineering team in the ML (machine learning) model deployment and production execution in in a cloud environment such as AWS using standard managed platforms such as Databricks, Sagemaker etc
  • Define metrics, understand A/B testing and statistical measurement of model quality
  • Evaluate and facilitate the integration of additional sources of data that can enhance analytic capability, continually identify and fix issue that could enforce robust analytic process
  • Work on building and executing plans to optimize the use and value of data to increase consumer engagement and better decision making across the organization.
  • Collaborate with stakeholders to understand their needs to ensure alignment on the development and delivery of scalable solutions; Present models and methodology to senior management and socialize results and learnings within the organization to drive business decisions
  • Work closely with the BI and engineering teams to implement the tools needed to support the empowerment of the organization with data.
  • Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences

The Essentials
  • Graduate degree in Computer Science, Engineering, Data Science, or other computational disciplines, and PhD preferred
  • 7+ years' experience in data science roles, entertainment/media experience is preferred
  • 3+ years' experience managing a team
  • Significant experience working with relational databases and SQL (experience with Pyspark/Scala is a plus)
  • Advanced-level proficiency in both R and Python (including class/function structure, package design and management)
  • Experience with the application of data science and advanced analytics techniques across structured and unstructured data.
  • Experience developing content evaluation and customer lifecycle models such as churn.
  • Experience with working in cloud-based environments like AWS
  • Proven ability building relationships and collaborate with stakeholders across large organizations.
  • Excellent verbal and written communications skills
  • Experience working with data from digital ad platforms, e.g. Facebook, Google Ads, etc. is a plus

The Perks
  • Exclusive WarnerMedia events and advance screenings
  • Paid time off every year to volunteer
  • Access to well-being tools, resources, and freebies
  • Access to in-house learning and development resources
  • Part of the WarnerMedia family of powerhouse brands

Warner Media, LLC and its subsidiaries are equal opportunity employers. Qualified candidates will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.