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, primarily in areas related to applied mathematics and the social sciences, 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.
Job Responsibilities:
- 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) 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
- 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
- Architecting, designing, and building data science products using foundational data sets that are regularly refreshed by data engineering teams
- Developing and maintaining code for data science products in consultation with engineering teams
- Optimizing code to make data science workflows run more efficiently
- Consulting regularly with technology partners to ensure that proper data science tooling and platforms are available
- Consulting regularly with business stakeholders and data product owners or managers on current data assets and data strategy to ensure that the right data is acquired, maintained, and used properly to solve recurring media and marketing problems
- 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
- Providing documentation and instruction to other scientists, engineers, or analysts about how to use data science products
- Leveraging business knowledge from business stakeholders to integrate and transform data from various foundational data sets
- 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 the health and deployment of statistical and machine learning models embedded in data science products
- Building machine learning models, statistical models, or optimization routines for the purposes of automating and scaling tasks
- Using code and data science best practices to implement rigorous methodologies to systematically solve marketing problems
- Working directly with business stakeholders, analysts, and researchers to develop code to implement rigorous analytic or business processes
- Coordinating 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 experience
- Demonstrated academic achievement in statistics and probability—typically involving graduate-level coursework
- Relevant areas include (but are not limited to) statistics, data science, applied mathematics, operations research, engineering, and computer science
Basic Qualifications:
- 5+ years of experience
- Sufficient professional experience working specifically within their functional area(s) to carry out related tasks with only some supervision
- Some demonstrated knowledge of media and marketing as well as a desire to learn more
- Desire to learn about the entertainment/media industries
- Reasonable level of business acumen in addition to very strong technical skills
- Proven creative problem-solving, decision-making, and critical thinking skills
- Demonstrated outstanding interpersonal skills, including ability to partner with others to handle multiple priorities in a rapidly changing environment
- Demonstrated strong written and verbal communication skills
- Strong leadership skills for a technical position
- Ability to work independently as well as across teams in a diverse, international, collaborative environment
- Proven ability to organize, prioritize, and balance concurrent projects and sustainment activities
- Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data
- Proficiency in performing exploratory quantitative analysis
- Proficiency in fitting, evaluating, and interpreting relevant statistical or machine learning models
- Advanced proficiency with Python
- Proficiency with SQL
- Demonstrated experience using big data technologies for data science—particularly Spark
- Demonstrated experience working across technical functions
- Demonstrated experience working with complicated systems
- Familiarity with Tableau or other data visualization tools
- Familiarity with cloud computing services
- Familiarity 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 experience
- Advanced proficiency with SQL
- Advanced proficiency with fitting, evaluating, and interpreting relevant statistical and machine learning models
- Proficiency with Tableau or other data visualization tools
- Advanced proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data
- Familiarity with the martech and adtech ecosystem
Compensation: The hiring range for this position in Burbank, CA is $138,900.00 to $186,200.00 per year. The base pay offered will account for 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, 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
Date Posted: 2024-11-22
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