Data Scientist II - Marketing Mix Modeling and Econometrics - Remote Opportunity with Disney's Direct to Consumer Team
Join the Disney Team as a Data Scientist II and Drive Marketing Success with Data-Driven Insights
Are you a skilled data scientist with a passion for marketing mix modeling and econometrics? Do you want to work with a leading company like Disney and contribute to the success of its Direct to Consumer team? We are seeking a talented Data Scientist II to join our Marketing Science team, which is responsible for developing and implementing marketing mix models to inform marketing investment decisions. As a fully remote opportunity, this role offers the flexibility to work from anywhere while collaborating with a talented team of professionals.
About the Team
The Marketing Science team, a sub-team within Marketing Analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star), is focused on developing and implementing marketing mix models (MMM) and associated ancillary analysis to inform marketing investment decisions. The team plays a critical role in supporting downstream practices used to optimize marketing spend and drive business growth. As a Data Scientist II, you will be an integral part of this team, working closely with data engineers, data product analysts, and other stakeholders to build, sustain, and scale econometric models that drive marketing success.
Key Responsibilities
Develop and Implement Marketing Mix Models: Build, sustain, and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams.
Quantify ROI and Optimize Marketing Spend: 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 Strategic Analysis: 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 Stakeholders: 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 Automation and Scale: Support long-term MMM (et.al.) automation, productionalization, and scale with support from data engineering and product.
Develop Front-end Reporting and Dashboarding: 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.
Essential Qualifications
Bachelor's Degree: Bachelor's degree in advanced Mathematics, Statistics, Data Science, or a comparable field of study.
Experience in Marketing Data Science: 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices.
Econometric Modeling: 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).
Media Attribution Practices: Exposure / understanding of media attribution practices for digital and linear media, the data required to power them, and methodologies for measurement.
Incrementality Experiments: Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy.
BI/Data Concepts: Exposure to / familiarity with BI/data concepts and experience building out self-service marketing data solutions.
Coding Experience: Strong coding experience in one (or more) data programming languages like Python/R.
SQL Experience: Experience in SQL.
Preferred Qualifications
Master's Degree: Master's degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics.
Career Growth Opportunities and Learning Benefits
As a Data Scientist II at Disney, you will have opportunities to grow your career and develop new skills. You will work with a talented team of professionals and have access to training and development programs to help you stay up-to-date with the latest technologies and methodologies. You will also have opportunities to contribute to the development of new marketing mix models and associated ancillary analysis, and to work on strategic projects that drive business growth.
Work Environment and Company Culture
Disney is a company that values innovation, creativity, and collaboration. We offer a flexible and remote work environment that allows you to work from anywhere while staying connected with your colleagues. Our company culture is built on the principles of respect, integrity, and teamwork. We are committed to providing a work environment that is inclusive, diverse, and supportive of all employees.
Compensation, Perks, and Benefits
The hiring range for this position in New York, NY is $120,400 to $161,500 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.
Conclusion
If you are a skilled data scientist with a passion for marketing mix modeling and econometrics, we encourage you to apply for this exciting opportunity. As a Data Scientist II at Disney, you will have the chance to work with a talented team of professionals, develop new skills, and contribute to the success of our Direct to Consumer team. We offer a competitive compensation package, flexible work environment, and opportunities for career growth and development. Apply now and join our team!
Apply Now
Are you a skilled data scientist with a passion for marketing mix modeling and econometrics? Do you want to work with a leading company like Disney and contribute to the success of its Direct to Consumer team? We are seeking a talented Data Scientist II to join our Marketing Science team, which is responsible for developing and implementing marketing mix models to inform marketing investment decisions. As a fully remote opportunity, this role offers the flexibility to work from anywhere while collaborating with a talented team of professionals.
About the Team
The Marketing Science team, a sub-team within Marketing Analytics at Disney's Direct to Consumer team (Hulu, Disney+, ESPN+ and Star), is focused on developing and implementing marketing mix models (MMM) and associated ancillary analysis to inform marketing investment decisions. The team plays a critical role in supporting downstream practices used to optimize marketing spend and drive business growth. As a Data Scientist II, you will be an integral part of this team, working closely with data engineers, data product analysts, and other stakeholders to build, sustain, and scale econometric models that drive marketing success.
Key Responsibilities
Develop and Implement Marketing Mix Models: Build, sustain, and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams.
Quantify ROI and Optimize Marketing Spend: 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 Strategic Analysis: 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 Stakeholders: 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 Automation and Scale: Support long-term MMM (et.al.) automation, productionalization, and scale with support from data engineering and product.
Develop Front-end Reporting and Dashboarding: 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.
Essential Qualifications
Bachelor's Degree: Bachelor's degree in advanced Mathematics, Statistics, Data Science, or a comparable field of study.
Experience in Marketing Data Science: 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices.
Econometric Modeling: 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).
Media Attribution Practices: Exposure / understanding of media attribution practices for digital and linear media, the data required to power them, and methodologies for measurement.
Incrementality Experiments: Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy.
BI/Data Concepts: Exposure to / familiarity with BI/data concepts and experience building out self-service marketing data solutions.
Coding Experience: Strong coding experience in one (or more) data programming languages like Python/R.
SQL Experience: Experience in SQL.
Preferred Qualifications
Master's Degree: Master's degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics.
Career Growth Opportunities and Learning Benefits
As a Data Scientist II at Disney, you will have opportunities to grow your career and develop new skills. You will work with a talented team of professionals and have access to training and development programs to help you stay up-to-date with the latest technologies and methodologies. You will also have opportunities to contribute to the development of new marketing mix models and associated ancillary analysis, and to work on strategic projects that drive business growth.
Work Environment and Company Culture
Disney is a company that values innovation, creativity, and collaboration. We offer a flexible and remote work environment that allows you to work from anywhere while staying connected with your colleagues. Our company culture is built on the principles of respect, integrity, and teamwork. We are committed to providing a work environment that is inclusive, diverse, and supportive of all employees.
Compensation, Perks, and Benefits
The hiring range for this position in New York, NY is $120,400 to $161,500 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.
Conclusion
If you are a skilled data scientist with a passion for marketing mix modeling and econometrics, we encourage you to apply for this exciting opportunity. As a Data Scientist II at Disney, you will have the chance to work with a talented team of professionals, develop new skills, and contribute to the success of our Direct to Consumer team. We offer a competitive compensation package, flexible work environment, and opportunities for career growth and development. Apply now and join our team!
Apply Now