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 automation, productionalization, and scaling with support from data engineering and product teams.
- 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.
Basic Qualifications
- Bachelor’s degree in Mathematics, Statistics, Data Science, or a related field.
- 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 supporting measurement of marketing efficiency and optimization of spend, flighting, and mix to maximize return on ad spend (MMM).
- Exposure/understanding of media attribution practices for digital and linear media, including data requirements and measurement methodologies.
- Understanding of incrementality experiments to validate model recommendations and assess channel/publisher efficacy.
- Experience with BI/data concepts and building self-service marketing data solutions.
- Proficiency in SQL and statistical modeling platforms (Python, R, etc.).
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Compensation:
The hiring range in NYC is $120,300 to $161,300 per year; in Santa Monica, CA, and Glendale, CA, it is $138,900 to $186,200 per year. Actual offers will consider internal equity, geographic location, skills, and experience. Compensation may include bonuses or long-term incentives, along with medical, financial, and other benefits.
其他資訊:
DISNEYTECH
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The Walt Disney Company and its affiliates are Equal Employment Opportunity employers. Individuals with disabilities or veterans with disabilities seeking accommodations should visit the Disney candidate disability accommodations FAQs. We respond only to requests related to online application accessibility due to disability.
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