Staff Data Scientist, Media Mix Modeling

Job Description

The Job

This role will support the HBO Max marketing teams to understand the impact of marketing on sales, profitability, and brand equity. As a Staff Data Scientist on the HBO Max Data Science team, you will have a deep understanding of different types of media spend channels and associated data, metrics, and KPIs. You will lead efforts to develop, maintain, and refine market mix models, multi-touch attribution models and you will be working closely with the marketing team, strategy team, and external vendors. Your models and analysis will be used to optimize HBO Max media spend and you will be working with a wide array of datasets to craft industry-leading models and analyses. You will aggressively monitor the latest in algorithmic/modeling results and identify opportunities to apply them impactfully. One key to this role is the ability to hop into cross-functional projects and executing from start to finish.

The Daily
• Performance analysis 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

The Essentials
• BA/BS in business analytics, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required; Masters/PhD is a plus
• 8+ years of experience building data science/statistical models (Multivariate regression, Markov Chain Model, Time Series Model etc.)
• 2+ 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
• Experience in customizing optimization algorithms
• Experience in building RShiny applications a plus
• Experience with ADH (Ads Data Hub) and BigQuery a plus
• Experience designing and evaluating experimental/ incrementality test
• Proficiency using Excel spreadsheets
• Knowledge of media and advertising (display, digital, paid search etc.)

Jobcode: Reference SBJ-gp1op4-18-222-120-133-42 in your application.