Data Scientist II - Marketing Mix Models at The Walt Disney Company

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Entertainment, Streaming Media, Marketing AnalyticsIndustries

Requirements

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 measuring marketing efficiency and optimizing 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
Preferred Qualifications
Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics

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

Skills

Key technologies and capabilities for this role

Marketing Mix ModelsMMMEconometric ModelingROI AnalysisAttribution ModelingA/B TestingExperimentationSQLPythonRDashboardingData VisualizationTableau

Questions & Answers

Common questions about this position

What qualifications are required for this Data Scientist II role?

A Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field is required, along with 3+ years of experience in a marketing data science/analytics role. Candidates need coursework or direct experience in applied econometric modeling, ideally MMM, strong coding in Python/R, and understanding of media attribution and incrementality experiments.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team structure look like for this position?

The role is part of the marketing science sub-team within marketing analytics at Disney’s Direct to Consumer team, working with a team focused on econometric modeling and collaborating with data engineering and data product teams.

What makes a strong candidate for this Data Scientist II position?

The ideal candidate has substantial quantitative skills with direct experience in marketing science practices like MMM and attribution modeling, serves as a strong mentor to analysts, and combines technical acumen with narrative-building abilities.