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About the Role
As a Senior Data Scientist on the Data Science team supporting HBO Max, you will play a pivotal role in optimizing media investment impact on subscriber growth, engagement, revenue, and long-term value across global markets. You will leverage your expertise in media channels, measurement methodologies, and data to lead the development and refinement of Media Mix Models (MMM), attribution and incrementality approaches, and optimization solutions.
Responsibilities
- Analyze marketing campaign performance and provide recommendations.
- Analyze media spend, investment, return, and performance.
- Lead the development of data frameworks and analytical approaches.
- Develop, maintain, and refine market mix and attribution models using advanced statistical models.
- Build optimization algorithms to maximize subscriber growth and revenue.
- Synthesize analytics and statistical approaches into easy-to-consume storylines with indicated actions.
- Present key drivers of media effectiveness and performance to business partners and executives.
- Craft action plans related to media effectiveness and performance.
Requirements
- BA/BS in a quantitative discipline (business analytics, statistics, mathematics, economics, industrial engineering) or equivalent experience.
- 4+ years of experience building data science/statistical models (e.g., Multivariate regression, Markov Chain Model, Time Series Model).
- 1+ years of experience in Media Mix Modeling and Multi-Touch Attribution Modeling.
- Expertise in linear and non-linear optimization approaches.
- Expertise in SQL and R and/or Python.
- Hands-on experience with Databricks for large-scale data processing, analytics, model development, and production workflows.
- Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code) for analysis, model development, debugging, documentation, and workflow automation.
- Strong understanding of generative AI and agentic AI capabilities, with the ability to evaluate and apply AI tools responsibly.
- Experience in customizing optimization algorithms.
- Experience designing and evaluating experimental/incrementality tests.
- Knowledge of media and advertising (display, digital, paid search etc.).
- Strong curiosity, leadership, and business acumen.
- Passionate about using data to drive strategy and product recommendations.
- Strong interpersonal skills with the ability to motivate, collaborate, and influence.
- Ability to deliver on multiple projects and meet tight deadlines.
- A developed creative taste and strong instinct for stories and experiences that will capture consumers.
- Ability to adapt rapidly in a fast-moving environment with shifting priorities.
- Ability to effectively influence and communicate cross-functionally with all levels.
- Exceptional verbal and written communication skills.
- Strong presentation skills.
Skills
- Data Science
- Statistical Modeling
- Media Mix Modeling (MMM)
- Multi-Touch Attribution Modeling
- Optimization Algorithms
- SQL
- R
- Python
- Databricks
- AI-assisted development
- Generative AI
- Agentic AI
- Experimental Design
- Incrementality Testing
- Media and Advertising Knowledge
- Subscription-based Businesses
- eCommerce
- Communication
- Presentation Skills
Location
- Global
Work Type
- Full-time
Experience Level
- Senior
- 4+ years of experience
- 1+ years of experience
Education Level
- BA/BS in a quantitative discipline
- Masters/PhD is a plus
Benefits
- Thoughtfully curated benefits
About the Company
- Warner Bros. Discovery is home to iconic content and beloved brands, including HBO Max.
- HBO Max is one of the world’s most iconic entertainment brands, home to bold originals and unforgettable characters.
- HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally.
- WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow.
Equal Opportunity
- Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences.
- Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, 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.
- Qualified candidates with a disability who require adjustments or accommodations during the job application and/or recruitment process can visit our accessibility page for instructions.