• Data Scientist II - Marketing Mix Models

    The Walt Disney Company (New York, NY)


    Marketing science – a sub-team within marketing analytics at Disney’s Direct to Consumer team (Hulu, Disney+, ESPN+ and Star) – is in search of an econometrician 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 analyst 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 ROI on marketing investment,determineoptimalspend range across the portfolio,identifyproposed efficiency caps by channel, set budgetamountsand inform subscriber acquisition forecasts

    + Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting,messagingand 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,productionalizationand 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,channelsand subscriber types

    Basic Qualifications

    + Bachelor’s degree in advanced Mathematics, Statistics, DataScienceor comparable field of study

    + 3+ years of experience in a marketing data 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 andoptimizespend, flighting and mix to maximize return on ad spend (i.e., MMM)

    + Exposure / understanding of media attribution practices for digital and linear media, the datarequiredto power them and methodologies for measurement

    + Understanding of incrementality experiments tovalidatemodel recommendations and gain learnings on channel/publisher efficacy

    + Exposure to / familiarity withwithBI/data concepts and experience building out self-service marketing data solutions

    + Strong coding experience in one (or more) data programming languages like Python/R

    + Ability to draw insights and conclusions from data to inform model development and business decisions

    + Experience in SQL

    Preferred Qualifications

    + Mastersdegree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics

     

    The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. 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 ID:** 10137431

    **Location:** New York,New York

    **Job Posting Company:** Disney Direct to Consumer

     

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