Senior Data Scientist - Marketing Mix Modeling (MMM)

Job Posting Title: Senior Data Scientist - Marketing Mix Modeling (MMM) Req ID: 10128241 Job Description: Marketing science – a sub-team within marketing analytics at Disney Streaming Services (Hulu, Disney+, and ESPN) – is in search of an analyst 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 and 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 should serve as a strong mentor to analysts, 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 Basic Qualifications 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

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.

) #DISNEYANALYTICS #DISNEYTECH The hiring range for this position in New York, NY & Seattle, WA is $145,500 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Data Science Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - 2500 Broadway Street, USA - CA - Market St, USA - WA - 925 4th Ave Date Posted: 2025-08-08 #J-18808-Ljbffr