Staff Data Scientist

Job Description

The Job

The Warner Bros. Marketing & Franchise Science team is looking for an entrepreneurial data scientist to play a key role in the analysis of film and franchise marketing. The ideal candidate is a subject matter expert in data science with exposure to measurement and testing in digital marketing and CRM. This person will apply statistical modeling and machine learning to Warner Bros. content offerings across theatrical, television, home entertainment, and games. This is an opportunity to work with some of the most storied franchises in entertainment including DC comics, Harry Potter, Looney Toons, Adult Swim & many more.

The Daily
• Analyze and model internal customer data
• Build relationships and collaborate with analysts and researchers across WB
• Produce statistical and machine learning models that inform how we communicate with our customers
• Drive improvement in our methodologies, systems and processes
• Provide analysis, reporting, and modeling to internal organizations based on customer data
• Prepare and present results of analyses to leadership

The Essentials
• Minimum of -7 years of experience in analytics and data science
• 4+ years of experience with conducting analysis in R or Python
• 2+ years experience with media measurement, modeling, and optimization in an agency, consulting firm, or client-side role focused on marketing / marketing analytics / marketing data science
• Experience with relational databases and SQL
• B.A./B.S. degree in Statistics, Mathematics, Computer Science, Economics, Political Science, or similar quantitative field
• Quantitative oriented Masters Degree or Ph.D preferred
• Hands on experience with techniques for modeling advertising effectiveness such as media mix modeling (MMM), multi-touch-attribution (MTA), attribution experiments, and/or Customer LifeTime Value models
• Familiarity with marketing technology such as (DMPs, LiveRamp, Neustar), ad platforms (Google, Facebook), CRM tools (Salesforce Marketing Cloud) and/or web analytics (Google Analytics, Adobe Analytics)
• Expertise in machine learning and predictive modeling approaches such as Random Forest, GBM, xgBoost, neural networks/deep learning, etc
• Skilled researcher, able to distill large bodies of data to key findings and explain them to varied audiences
• Experience developing testing roadmaps for evaluating campaigns
• Knowledge of basic survey design and analysis
• Strong history of identifying opportunities for developing predictive models to meet business needs
• Love of TV, Movies, Games, and Comics is a Plus!
• General office activities - walking, standing, sitting, speaking, lifting, bending, etc
• Must be able to communicate effectively and tactfully with all levels of personnel, both in person and on the telephone
• Must be able to pay close attention to complex detail and understand written and oral instructions
• Must be able to organize and schedule work effectively
• Must be able to work well under time constraints
• Must be able to handle multiple tasks with changing priorities, communicating changes in scope and schedule to all parties concerned
• Must be able to work independently
• Must be able to maintain confidentiality

Jobcode: Reference SBJ-rnb265-3-140-242-165-42 in your application.