Associate Marketing Scientist

Job ID 10099749 Location Burbank, California, United States Business The Walt Disney Studios Date posted Aug. 30, 2024

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"I didn't think it was possible that something I did for fun - telling sports stories through stats - could become my job until I came here."

Ana, Sr. Researcher, ESPN

Job Summary:

Job Title: Associate Marketing Scientist

Marketing Science is an applied science team within The Walt Disney Studios Marketing organization. The team is interdisciplinary and cross-functional. Members of the team draw on knowledge and expertise from a wide range of academic disciplines, but primarily in areas related to applied mathematics and the social sciences, in order to advance data-driven marketing at The Walt Disney Studios. Depending on their backgrounds and interests, they may engage in market research, experimentation, forecasting, causal measurement, optimization, or data-related automation and data product development. Marketing Science is a part of The Walt Disney Studios Performance Marketing and is closely integrated with Performance Marketing operations. Members of the Marketing Science team generally learn about the advertising and marketing technologies that connect these operations in order to find opportunities to improve marketing effectiveness.

Job Responsibilities:

Members of the Marketing Science team generally fall within one or more functional areas as described in the Analytics Specializations section below. A person in the Associate Marketing (Data) Scientist is an individual contributor who is developing expertise in one or more functional area and has attained significant capabilities so as to be able to help complete tasks within those functional areas with supervision. A person in the Associate Marketing (Data) Scientist role is expected to be developing knowledge in media, marketing, and entertainment.

Analytics Specializations:

Research and Consumer Insights Specialization (more emphasis in some Marketing Science roles):

Overseeing or carrying out all aspects of quality market research, including overseeing proper sampling, assigning sample weights, participating in survey / research design, and validating survey programming.
Designing innovative research studies that uncover not only consumer trends and behavior but also the beliefs, values and motivations of consumers
Using discrete choice models and other advanced analytic techniques to better understand the way consumers make decisions
Using unsupervised learning models and other advanced analytic techniques to produce and evaluate data-driven customer segmentations for various marketing purposes
Synthesizing audience and consumer insights into compelling narratives for business stakeholders in The Walt Disney Studios Marketing organization
Overseeing consumer research collected as part of brand lift studies
Coordinating work with other research teams at The Walt Disney Company

Marketing Measurement and Valuation Specialization (more emphasis in some Marketing Science roles):

Troubleshooting problems with existing media measurement solutions, including problems that arise from changes in the martech or adtech measurement ecosystem (e.g. iOS14 update, cookie deprecation, etc.)
Consulting with business stakeholders within TWDS media team (or adjacent teams within TWDS Marketing) to design business processes or campaign architectures that achieve better results on various media platforms including DSPs (DV360, The Trade Desk, Amazon DSP, etc.) or walled gardens (YouTube, Facebook, Twitter, Tiktok, etc.)
Consulting with business stakeholders within TWDS media team (or adjacent teams within TWDS Marketing) to precisely formulate media business problems that might benefit from data-driven solutions
Using knowledge of media measurement—including, but not limited to knowledge of pixels, SDKs, server-to-server integrations, media platform APIs, and identity graphs—to design measurement solutions for media business problems
Translating media business problems into formal problems that can be solved by technical teams
Validating whether proposed solutions and existing products successfully address media business problems
Overseeing design, execution, and analysis of A/B tests in order to evaluate the effectiveness of media / marketing exposure across different dimensions
Designing, interpreting or otherwise using formal models (e.g. marketing mix models, attribution models) to measure causal effects of marketing or media
Building financial valuation models of marketing or media performance in order to demonstrate the value created by application of scientific approaches or uncover additional areas for improvement
Using concepts and principles of economics to better understand the effects of competition on marketing
Using concepts and principles of economics or finance to better understand the effects of marketing on the lifetime value of movies

Statistics, Data Science, and Optimization Specialization (more emphasis in Marketing Data Science roles)

Using knowledge of statistics, machine learning, and AI to solve technical and research problems, including problems related to experimental and research design
Developing and interpreting the results of new formal models to forecast or predict business outcomes
Developing and interpreting the results of new formal models (e.g; marketing mix models, attribution models, etc) to measure causal effects of marketing efforts or paid media
Overseeing the maintenance and improvement of existing statistical and machine learning models
Prototyping data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence
Formulating and solving optimization problems
Coordinating work with other science and technology teams at The Walt Disney Company
Applying understanding of concepts and principles of optimization to evaluate and improve media and marketing performance
Formulating and solving formal optimization problems
Effectively leveraging big data and cloud computing technologies to address business questions

Analytics Engineering and Technology Specialization (more emphasis in Analytics Engineering roles, not as relevant for Associate level)

Architecting, designing, and building data products using foundational data sets that are regularly refreshed by data engineering teams
Developing and maintaining code for data products
Consulting regularly with business stakeholders and data product owners or managers on current data assets and data strategy in order to ensure that the right data is acquired, maintained, and used properly to solve recurring media and marketing problems within the entertainment and media industries
Leveraging business knowledge from business stakeholders to provide specifications and requirements to technology and data engineering teams for ingesting, transforming, and cleaning foundational data sets that can be leveraged downstream for building data products
Providing documentation and instruction to other scientists, engineers, or analysts about how to use data products to automate and scale data-retrieval, generation of data results, data-driven recommendation, or data-driven decision-making
Leveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets as required to create successful data products
Using code and technology to build data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligence
Monitoring and overseeing the deployment, maintenance, and improvement of the statistical and machine learning models and optimization routines embedded in data products
Building machine learning models, statistical models, or optimization routines—especially for the purposes of automating and scaling tasks—while leveraging the expertise of data or decision scientists as appropriate and necessary to ensure that best data and decision science practices are followed
Working directly with data scientists and decision scientists to implement bespoke, rigorous methodologies in order to systematically solve marketing problems in repeatable ways
Working directly with business stakeholders, analysts, and researchers to develop code to implement bespoke, rigorous analytic or business processes in order to systematically provide insights or recommendations in repeatable ways
Coordinating work with other science and technology teams at The Walt Disney Company

Basic Education

BS or MS in advanced Mathematics, Statistics, Data Science and comparable field of study and/or equivalent work experience
Demonstrated academic achievement in statistics and probability—typically involving graduate-level coursework
Further demonstrated academic achievement in areas related to specialization:
- Research and Consumer Insights: relevant areas include (but are not limited to) psychology, sociology, and marketing
- Marketing Measurement and Valuation Specialization: relevant areas include (but are not limited to) cognitive science, economics, applied statistics, and business
- Statistics, Data Science, and Optimization: relevant areas include (but are not limited to) statistics, data science, applied mathematics, and operations research
- Analytics Engineering and Technology: relevant areas include (but are not limited to) computer science and applied mathematics.

Basic Qualifications

Desire to learn about media and marketing
Desire to learn about the entertainment / media industries
Some business acumen in addition to strong technical skills
Demonstrated potential for developing strong creative problem-solving, decision-making and critical thinking skills
Demonstrated strong interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment
Demonstrated strong written and verbal communication skills
Ability to work independently as well as across teams in a diverse, international, collaborative environment
Demonstrated experience with organizing, prioritizing, and balancing concurrent projects and sustainment activities
Demonstrated experience with acquiring, organizing, cleansing, manipulating, and merging large volumes of data
Demonstrated experience with performing exploratory quantitative analysis
Demonstrated experience with fitting, evaluating, and interpreting relevant statistical or machine learning models
Demonstrated experience with Python
Familiarity with SQL
Familiarity with Tableau or other data visualization tool
Familiarity with cloud computing services
Familiarity with CI/CD and GitLab or GitHub
Desire to learn about the martech and adtech ecosystem

Preferred Education

Graduate degree (Master’s or Doctorate)—with significant graduate-level academic exposure to formal or quantitative methods

Preferred Qualifications

Proficiency with Python
Demonstrated experience with SQL
Demonstrated experience with Tableau or other data visualization tool
Demonstrated experience using big data technologies for data science—particularly Spark
Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data

The hiring range for this position in CA is $93,400.00 to $125,200.00 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.

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About The Walt Disney Studios:

For over 95 years, The Walt Disney Studios has been the foundation on which The Walt Disney Company was built. Today it brings quality movies, episodic storytelling, music, and stage plays to consumers throughout the world. The Walt Disney Studios encompasses a collection of respected film studios, including Disney, Walt Disney Animation Studios, Pixar Animation Studios, Marvel Studios, Lucasfilm, 20th Century Studios, and Searchlight Pictures. It is also home to Disney Theatrical Productions, producer of world-class stage shows.

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 Entertainment Operations LLC, which is part of a business we call The Walt Disney Studios.

Disney Entertainment Operations 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.

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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, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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