Sr. Marketing Data Scientist

About the Role

Key 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 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
• Leveraging business knowledge from stakeholders to provide specifications and requirements for data ingestion, transformation, and cleaning
• Providing documentation and instruction to other scientists, engineers, or analysts about data science products
• Using code and technology to build data pipelines or tools to automate knowledge creation and deployment
• 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 automation and scaling
• Implementing rigorous methodologies to systematically solve marketing problems
• Working directly with business stakeholders, analysts, and researchers to develop code for analytic or business processes
• Coordinating work with other science and technology teams at The Walt Disney Company

Requirements

• 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
• 5+ years of professional experience working within their functional area(s)
• Some knowledge of media and marketing and a desire to learn more
• Reasonable level of business acumen and very strong technical skills
• Proven creative problem-solving, decision-making, and critical thinking skills
• Outstanding interpersonal skills and ability to partner with others in a rapidly changing environment
• Strong written and verbal communication skills
• Strong leadership skills for a technical position
• Ability to work independently and across teams in a diverse, international, collaborative environment
• Proficiency in acquiring, organizing, cleansing, manipulating, and merging large volumes of data
• Proficiency in exploratory quantitative analysis
• Proficiency in fitting, evaluating, and interpreting relevant statistical or machine learning models
• Advanced proficiency with Python
• Proficiency with SQL
• Experience using big data technologies for data science, particularly Spark
• Experience working across technical functions and with complicated systems
• Familiarity with Tableau or other data visualization tools
• Familiarity with cloud computing services
• Familiarity with CI/CD and GitLab or GitHub

Nice to Have

• Graduate degree (Master's or Doctorate) with significant graduate-level academic exposure to formal or quantitative methods
• 3+ years of experience in related roles
• 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

Qualifications

• Bachelor's degree in Mathematics, Statistics, Data Science, or comparable field of study, and/or equivalent work experience
• 5+ years of professional experience in data science or related field

Benefits & Perks

• The hiring range in Burbank, CA is $138,900.00 to $186,200.00 per year
• A bonus and/or long-term incentive units may be provided
• Full range of medical, financial, and/or other benefits, dependent on the level and position offered