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Warner Bros. Discovery Logo

Data Scientist I - Media Mix Modeling

Warner Bros. Discovery

Salary not specified
Sep 24, 2025
Atlanta, GA, US
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Warner Bros. Discovery is launching a new video streaming application, HBO Max, and needs to understand the impact of marketing on sales, profitability, and brand equity to optimize media spend and maximize subscriber growth and revenue.

Requirements

  • 1+ years of experience building data science/statistical models (Multivariate regression, statistical test measurements, Time Series Model etc.)
  • Expertise in SQL, R, and Python
  • Proficient in Databricks a plus
  • Experience designing and evaluating experimental/ incrementality test a plus
  • Experience in Media Mix Modeling a plus
  • Experience in RShiny a plus
  • Experience in linear and non-linear optimization (Local/Global) approaches a plus

Responsibilities

  • Develop, maintain, and refine market mix models and market experiments.
  • Develop, maintain, and refine market mix models and attribution models using advanced statistical models
  • Support building optimization algorithms using the model output to optimize media spend to maximize subscriber growth and revenue
  • Performance analysis to measure marketing campaigns and make recommendations
  • Analyze and have a deep understanding of media spend (investment and return) and measure performances
  • Support the development of data framework and analytical approaches
  • Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences

Other

  • BA/BS in business analytics, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus
  • Strong curiosity, leadership, and business acumen.
  • Passionate about using data to drive strategy and product recommendations.
  • Experience in subscription-based businesses or eCommerce preferred.
  • Ability to deliver on multiple projects and meet tight deadlines.