Senior Data Scientist - Marketing Science

Senior Data Scientist - Marketing Science

Company: Disney Direct to Consumer

Job Type: Full-Time

Salary: $136,038 to $182,490 per year (Santa Monica, CA) | $142,516 to $191,180 per year (Seattle, WA and New York, NY)

Job Description

Disney's Direct to Consumer Marketing Science team is seeking a Senior Data Scientist to lead econometric modeling efforts, with a focus on marketing mix models (MMM) and associated analysis. This role involves building, sustaining, and scaling MMM for Disney Streaming Services, quantifying ROI, informing subscriber acquisition forecasts, and providing insights to marketing and finance teams. Additionally, the Senior Data Scientist will support long-term MMM automation, build out front-end reporting and dashboarding, and collaborate closely with data engineering and data product teams.

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.
• Provide insights to marketing and finance teams, supporting ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging, and tactics.
• Collaborate with data engineering and product teams to support long-term MMM automation, productionalization, and scale.
• 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 or Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics.
• At least 5 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.
• Strong coding experience in one (or more) data programming languages like Python/R.
• Experience in SQL.

Additional Information

#DISNEYTECH

The hiring range for this position in Santa Monica, California is $136,038 to $182,490 per year and in Seattle, Washington, and New York, New York is $142,516 to $191,180 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.