Walt Disney
Associate Marketing Scientist
Walt Disney, Burbank, California, United States, 91520
Job Title:
Associate Marketing ScientistMarketing 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: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:Troubleshooting problems with existing media measurement solutions, including problems that arise from changes in the martech or adtech measurement ecosystem.Consulting with business stakeholders within TWDS media team to design business processes or campaign architectures that achieve better results on various media platforms.Consulting with business stakeholders within TWDS media team to precisely formulate media business problems that might benefit from data-driven solutions.Using knowledge of media measurement 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 to evaluate the effectiveness of media/marketing exposure.Designing, interpreting or otherwise using formal models to measure causal effects of marketing or media.Building financial valuation models of marketing or media performance.Using concepts and principles of economics to better understand the effects of competition on marketing.Statistics, Data Science, and Optimization Specialization:Using knowledge of statistics, machine learning, and AI to solve technical and research problems.Developing and interpreting the results of new formal models to forecast or predict business outcomes.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.Formulating and solving optimization problems.Applying understanding of concepts and principles of optimization to evaluate and improve media and marketing performance.Analytics Engineering and Technology Specialization:Architecting, designing, and building data products using foundational data sets.Developing and maintaining code for data products.Consulting regularly with business stakeholders on current data assets and data strategy.Providing documentation and instruction to other scientists, engineers, or analysts about how to use data products.Building machine learning models, statistical models, or optimization routines.Basic Education:BS or MS in advanced Mathematics, Statistics, Data Science or comparable field of study.Demonstrated academic achievement in statistics and probability.Further demonstrated academic achievement in areas related to specialization.Basic Qualifications:Desire to learn about media and marketing.Some business acumen in addition to strong technical skills.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.Demonstrated experience with acquiring, organizing, cleansing, manipulating, and merging large volumes of data.Demonstrated experience with fitting, evaluating, and interpreting relevant statistical or machine learning models.Demonstrated experience with Python.Familiarity with SQL and data visualization tools.Preferred Education:Graduate degree (Master’s or Doctorate) with significant graduate-level academic exposure to formal or quantitative methods.Preferred Qualifications:Proficiency with Python and SQL.Demonstrated experience using big data technologies for data science.The hiring range for this position in CA is $93,400.00 to $125,200.00 per year. The base pay offered will take into account internal equity and may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience. 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.Job Posting Segment:
DEMRKTGJob Posting Primary Business:
Disney+ - MediaPrimary Job Posting Category:
Data ScienceEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Burbank, CA, USADate Posted:
2024-08-30
#J-18808-Ljbffr
Associate Marketing ScientistMarketing 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: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:Troubleshooting problems with existing media measurement solutions, including problems that arise from changes in the martech or adtech measurement ecosystem.Consulting with business stakeholders within TWDS media team to design business processes or campaign architectures that achieve better results on various media platforms.Consulting with business stakeholders within TWDS media team to precisely formulate media business problems that might benefit from data-driven solutions.Using knowledge of media measurement 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 to evaluate the effectiveness of media/marketing exposure.Designing, interpreting or otherwise using formal models to measure causal effects of marketing or media.Building financial valuation models of marketing or media performance.Using concepts and principles of economics to better understand the effects of competition on marketing.Statistics, Data Science, and Optimization Specialization:Using knowledge of statistics, machine learning, and AI to solve technical and research problems.Developing and interpreting the results of new formal models to forecast or predict business outcomes.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.Formulating and solving optimization problems.Applying understanding of concepts and principles of optimization to evaluate and improve media and marketing performance.Analytics Engineering and Technology Specialization:Architecting, designing, and building data products using foundational data sets.Developing and maintaining code for data products.Consulting regularly with business stakeholders on current data assets and data strategy.Providing documentation and instruction to other scientists, engineers, or analysts about how to use data products.Building machine learning models, statistical models, or optimization routines.Basic Education:BS or MS in advanced Mathematics, Statistics, Data Science or comparable field of study.Demonstrated academic achievement in statistics and probability.Further demonstrated academic achievement in areas related to specialization.Basic Qualifications:Desire to learn about media and marketing.Some business acumen in addition to strong technical skills.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.Demonstrated experience with acquiring, organizing, cleansing, manipulating, and merging large volumes of data.Demonstrated experience with fitting, evaluating, and interpreting relevant statistical or machine learning models.Demonstrated experience with Python.Familiarity with SQL and data visualization tools.Preferred Education:Graduate degree (Master’s or Doctorate) with significant graduate-level academic exposure to formal or quantitative methods.Preferred Qualifications:Proficiency with Python and SQL.Demonstrated experience using big data technologies for data science.The hiring range for this position in CA is $93,400.00 to $125,200.00 per year. The base pay offered will take into account internal equity and may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience. 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.Job Posting Segment:
DEMRKTGJob Posting Primary Business:
Disney+ - MediaPrimary Job Posting Category:
Data ScienceEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Burbank, CA, USADate Posted:
2024-08-30
#J-18808-Ljbffr