Job Posting Title:Data Scientist II, Marketing ScienceReq ID:10128242Job Description:<div><div>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.</div><div>  </div><div>Responsibilities </div><div><ul><li>Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams </li></ul></div><div><ul><li>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 </li></ul></div><div><ul><li>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 </li></ul></div><div><ul><li>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) </li></ul></div></div><div><div><ul><li>Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product</li></ul></div><div><ul><li>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 </li></ul></div><div>  </div><div>Basic Qualifications </div><div><ul><li>Bachelor’s degree in advanced Mathematics, Statistics, Data Science or related field of study </li></ul></div><div><ul><li>3+ years of experience in a marketing science / analytics role with understanding of measurement and optimization best practices </li></ul></div><div><ul><li>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) </li></ul></div><div><ul><li>Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement </li></ul></div><div><ul><li>Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy </li></ul></div><div><ul><li>Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions </li></ul></div><div><ul><li>Experience in SQL as well as statistical modeling platforms (Python, R, etc) </li></ul></div></div><div> </div><div>#DISNEYANALYTICS#DISNEYTECH</div>The hiring range for this position in NYC is $120,300 to $161,300 per year and Santa Monica, CA and Glendale, CA is $138,900 to $186,200 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 ConsumerJob Posting Primary Business:DTC Analytics and Data SciencePrimary Job Posting Category:Data ScienceEmployment Type:Full timePrimary City, State, Region, Postal Code:New York, NY, USAAlternate City, State, Region, Postal Code:USA - CA - 2500 Broadway StreetDate Posted:2025-08-12