The Walt Disney Company
Data Scientist II
The Walt Disney Company, New York, New York, us, 10261
About The Team
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, 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.
Basic Qualifications
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.
Preferred Qualifications
Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics.
Additional Information
#DISNEYTECH
#J-18808-Ljbffr
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, 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.
Basic Qualifications
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.
Preferred Qualifications
Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics.
Additional Information
#DISNEYTECH
#J-18808-Ljbffr