Job Posting Title:

Sr. Marketing Data Scientist

Req ID:

10105345

Job Description:

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 science 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: 

A person in this role is an individual contributor who has already developed some expertise through meaningful experience in their functional areas so as to be able to carry efforts in those areas within at least one major project with less supervision.  A person in this role is expected to be developing knowledge in media, marketing, and entertainment.

Using knowledge of statistics, machine learning, and AI to solve technical and research problems, including problems related to experimental and research designDeveloping and interpreting the results of new formal models to forecast or predict business outcomesDeveloping 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 mediaOverseeing the maintenance and improvement of existing statistical and machine learning modelsPrototyping data pipelines or tools to automate the creation and/or deployment of knowledge gained from statistical models, machine learning models, or artificial intelligenceApplying understanding of concepts and principles of optimization to evaluate and improve media and marketing performanceFormulating and solving formal optimization problemsEffectively leveraging big data and cloud computing technologies to address business questionsArchitecting, designing, and building data science products using foundational data sets that are regularly refreshed by data engineering teamsDeveloping and maintaining code for data science products in consultation with engineering teamsOptimizing code to make data science workflows run more efficientlyConsulting regularly with technology partners to ensure that proper data science tooling and platforms are availableConsulting 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 industriesLeveraging 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 science productsProviding documentation and instruction to other scientists, engineers, or analysts about how to use data science products to automate and scale data-retrieval, generation of data results, data-driven recommendation, or data-driven decision-makingLeveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets as required to create successful data science 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 intelligenceMonitoring the health and deployment of statistical and machine learning models and optimization routines embedded in data science productsBuilding machine learning models, statistical models, or optimization routines for the purposes of automating and scaling tasks as part of data science productsUsing code and data science best practices to implement bespoke, rigorous methodologies in order to systematically solve marketing problems in repeatable waysWorking 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 waysCoordinating work with other science and technology teams at The Walt Disney Company

Basic Education:

Bachelor’s degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experienceDemonstrated academic achievement in statistics and probability—typically involving graduate-level courseworkRelevant areas include (but are not limited to) statistics, data science, applied mathematics, operations research, engineering, and computer science 
 

Basic Qualifications:

5+ years of experienceSufficient professional experience working specifically within their functional area(s) to carry out related tasks with only some supervisionSome demonstrated knowledge of media and marketing as well as a desire to learn moreDesire to learn about the entertainment / media industriesReasonable level of business acumen in addition to very strong technical skillsProven creative problem-solving, decision-making and critical thinking skillsDemonstrated outstanding interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environmentDemonstrated strong written and verbal communication skillsStrong leadership skills for a technical positionAbility to work independently as well as across teams in a diverse, international, collaborative environmentProven ability to organize, prioritize, and balance concurrent projects and sustainment activitiesProficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of dataProficiency in performing exploratory quantitative analysisProficiency in fitting, evaluating, and interpreting relevant statistical or machine learning modelsAdvanced proficiency with PythonProficiency with SQLDemonstrated experience using big data technologies for data science—particularly SparkDemonstrated experience working across technical functionsDemonstrated experience working with complicated systemsFamiliarity with Tableau or other data visualization toolFamiliarity with cloud computing servicesFamiliarity with CI/CD and GitLab or GitHub

Preferred Qualifications:

Graduate degree (Master’s or Doctorate)—with significant graduate-level academic exposure to formal or quantitative methods and 3+ years of experienceAdvanced proficiency with SQLAdvanced proficiency with fitting, evaluating, and interpreting relevant statistical and machine learning modelsProficiency with Tableau or other data visualization toolAdvanced proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of dataFamiliarity with the martech and adtech ecosystem

The hiring range for this position in Burbank, CA is $138,900.00 to $186,200.00 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.

Job Posting Segment:

DEMRKTG

Job Posting Primary Business:

Disney+ - Creative

Primary Job Posting Category:

Data Science

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Burbank, CA, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2024-11-22