Data Scientist II - Marketing Mix Models
Disney
Data Scientist II - Marketing Mix Models
Job Description
Job Summary:
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 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
The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. 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.
About Disney Direct to Consumer:
Disney’s Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer.
Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
Having technical issues? View the FAQs for help.
Locations
- Location New York, New York, United States / Santa Monica
Salary
117,500 - 165,000 USD / yearly
Skills Required
- Substantial quantitative skill setintermediate
- Direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.)intermediate
- Technical acumenintermediate
- Narrative-buildingintermediate
- Strong mentor to analystsintermediate
Required Qualifications
- Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study (experience)
- 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices (experience)
- 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) (experience)
- Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement (experience)
- Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy (experience)
Preferred Qualifications
- Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics (experience)
- Exposure to / familiarity with BI/data concepts and experience building out self-service marketing data solutions (experience)
- Strong coding experience in one (or more) data programming languages like Python/R (experience)
- Ability to draw insights and conclusions from data to inform model development and business decisions (experience)
- Experience in SQL (experience)
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
Benefits
- general: Bonus and/or long-term incentive units
- general: Full range of medical benefits
- general: Financial benefits
- general: Other benefits dependent on the level and position offered
Tags & Categories
Data Scientist II - Marketing Mix Models
Disney
Data Scientist II - Marketing Mix Models
Job Description
Job Summary:
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 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
The hiring range for this position in Santa Monica, CA is $117,500 to $157,500 per year and in New York City, NY & Seattle, WA is $123,000 to $165,000. 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.
About Disney Direct to Consumer:
Disney’s Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company’s best-in-class storytelling to fans and families everywhere.
About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer.
Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
DISABILITY ACCOMMODATION FOR EMPLOYMENT APPLICATIONS
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
Having technical issues? View the FAQs for help.
Locations
- Location New York, New York, United States / Santa Monica
Salary
117,500 - 165,000 USD / yearly
Skills Required
- Substantial quantitative skill setintermediate
- Direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.)intermediate
- Technical acumenintermediate
- Narrative-buildingintermediate
- Strong mentor to analystsintermediate
Required Qualifications
- Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study (experience)
- 3+ years of experience in a marketing data science / analytics role with understanding of measurement and optimization best practices (experience)
- 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) (experience)
- Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement (experience)
- Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy (experience)
Preferred Qualifications
- Masters degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics (experience)
- Exposure to / familiarity with BI/data concepts and experience building out self-service marketing data solutions (experience)
- Strong coding experience in one (or more) data programming languages like Python/R (experience)
- Ability to draw insights and conclusions from data to inform model development and business decisions (experience)
- Experience in SQL (experience)
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
Benefits
- general: Bonus and/or long-term incentive units
- general: Full range of medical benefits
- general: Financial benefits
- general: Other benefits dependent on the level and position offered
Tags & Categories