Senior Data Scientist - Marketing Mix Modeling (MMM)

About the Role

Key Responsibilities

• Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams
• Quantify Return on Ad Spend, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts
• Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results
• Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc.)
• Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product
• Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types

Requirements

• Bachelors degree in Data Science, Computer Science, Engineering, Mathematics, Econometrics, Statistics or related field
• 5+ years of experience in a marketing science / analytics role with understanding of measurement and optimization best practices
• Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM)
• Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement
• Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy
• Exposure to / familiarity with BI/data concepts and experience building out self-service marketing data solutions
• Experience in SQL as well as statistical modeling platforms (Python, R, etc.)

Nice to Have

• Experience supporting automation and scaling of marketing mix models
• Strong narrative-building skills to communicate complex insights effectively

Qualifications

• Educational background in Data Science, Computer Science, Engineering, Mathematics, Econometrics, or Statistics
• Minimum of 5 years of relevant marketing science or analytics experience

Benefits & Perks

• Competitive salary range depending on location and experience
• Bonus and/or long-term incentive units
• Full range of medical, financial, and other benefits