Data Scientist I - Media Mix Modeling

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Title: Data Scientist I - Media Mix Modeling

Supervisor:  Director, Data Science

Hiring Range:             

The Job

Be a part of a startup within a large organization and help us launch the premier new video streaming application HBO Max. This role will support the HBO Max marketing teams to understand the impact of marketing on sales, profitability, and brand equity. As a data scientist on HBO Max Data Science team, this individual will have a deep understanding of different types of media spend channels and associated data, metrics and KPIs. The data scientist will develop, maintain, and refine market mix models and market experiments. You will be working closely with the marketing team, strategy team and external vendors. Your models and analysis will be used to optimize and validate Max media spend. You’d be working with a wide array of datasets to craft industry leading models and analyses. Key to this role is the ability to hop into cross-functional projects, 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
• Support the development of data framework and analytical approaches
• 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
• 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 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
• 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
• Knowledge of media and advertising (display, digital, paid search etc.) a plus

Other desired qualifications:

• 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.

How We Get Things Done…

This last bit is probably the most im