Senior Data Scientist

Warner Bros. Discovery•Atlanta, GA

20d

About The Position

Be part of the Data Science team supporting HBO Max at a pivotal stage of global growth. This role will help Marketing understand and optimize the impact of media investment on subscriber growth, engagement, revenue, and long-term value across markets. As a Senior Data Scientist, you will bring a deep understanding of media channels, measurement methodologies, and the associated data, metrics, and KPIs. You will lead the development, maintenance, and refinement of Media Mix Models (MMM), attribution and incrementality approaches, and optimization solutions that inform media planning and investment decisions. You will work closely with Marketing, Media Strategy, Analytics, Finance, Engineering, and other cross-functional partners, using a wide array of datasets to build scalable, industry-leading measurement solutions. Key to this role is the ability to own complex analytical projects end-to-end, translate model outputs into clear business recommendations, and actively evaluate emerging statistical, machine learning, and AI approaches that can improve how the team works and the decisions we enable.

Requirements

BA/BS in business analytics, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required.
4+ years of experience building data science/statistical models (Multivariate regression, Markov Chain Model, Time Series Model etc.)
1+ years of experience in Media Mix Modeling and Multi Touch Attribution Modeling
Expertise in linear and non-linear optimization (Local/Global) 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 such as Cursor and Claude Code, including using coding agents and large language models to accelerate 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 to improve data science productivity and analytical solutions
Experience in customizing optimization algorithms
Experience designing and evaluating experimental/ incrementality test
Knowledge of media and advertising (display, digital, paid search etc.)

Nice To Haves

Masters/PhD is a plus
Experience in building RShiny applications a plus
Experience with ADH (Ads Data Hub) and BigQuery 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.
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.
Actively engage in strategic conversations with social insights and community perspectives
Ability to adapt rapidly in a fast-moving environment with shifting priorities and the ability to react quickly, dynamically, and intelligently.
Ability to effectively influence and communicate cross-functionally with all levels; exceptional verbal and written communication skills.
Strong presentation skills are a must.

Responsibilities

Performance analysis and modeling to measure marketing campaigns and make recommendations
Analyze and have a deep understanding of media spend (investment and return) and measure performances
Lead the development of data framework and analytical approaches
Develop, maintain, and refine market mix models and attribution models using advanced statistical models
Build optimization algorithms using the model output to optimize media spend to maximize subscriber growth and revenue
Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences
Present key drivers behind media effectiveness and performance with business partners and senior executives and craft related action plans