About the position
Marketing science - a sub-team within marketing analytics at Disney Streaming Services (Hulu, Disney+, and ESPN) - is in search of a data scientist to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment. The data scientist plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and serves as a strategic partner to the analytics team, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role.
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
- Bachelor's degree in advanced Mathematics, Statistics, Data Science or related field of study
- 3+ 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)
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- Full range of medical, financial, and/or other benefits, dependent on the level and position offered
