The Walt Disney Company · 3 hours ago

Data Scientist II

New York, NY

Full-time

Remote

Mid Level

$115K/yr - $161K/yr

3+ years exp

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Amusement Park and ArcadeAnimation

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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, 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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Econometric modelingMarketing mix models (MMM)Data programming languagesPythonAttribution modelingTesting/experimentationRSQLMedia attribution practicesIncrementality experimentsBI/data conceptsSelf-service marketing data solutionsData insightsAdvanced MathematicsStatisticsData Science

Required

Bachelor’s degree in advanced Mathematics, Statistics, Data Science or 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 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

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