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Data Scientist, Marketing

Fox Entertainment

$114,000 - $120,000
Nov 6, 2025
Los Angeles, CA, United States of America
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FOX Entertainment is looking to leverage AI and advanced analytics to improve marketing decision-making, optimize cross-channel marketing performance, and guide high-level strategic decisions by quantifying the impact of media investments.

Requirements

  • Proficiency in Python, R, and experience with data analysis libraries (e.g., pandas, scikit-learn)
  • Strong foundation in statistical methods and predictive modeling techniques
  • Familiarity with experimental design and A/B testing concepts
  • Experience working with SQL and data visualization tools
  • Exposure to marketing analytics, attribution modeling, or MMM
  • Experience with cloud platforms (e.g., AWS, GCP) or big data tools (e.g., Spark)
  • Knowledge of marketing technology and advertising platforms

Responsibilities

  • Support the development and maintenance of marketing mix models (MMM) to evaluate marketing effectiveness across channels
  • Build predictive models and assist with simulations to inform marketing strategies and budget recommendations
  • Contribute to experimentation efforts, including A/B test design, implementation, and analysis
  • Analyze marketing data to identify trends, patterns, and opportunities for optimization.
  • Contribute to the development of AI-driven data products
  • Present findings and insights to stakeholders in clear, actionable formats
  • Stay current with emerging trends in AI and marketing analytics

Other

  • 3+ years of experience in data science, analytics, or statistical modeling
  • Strong communication skills and ability to translate technical findings for non-technical audiences
  • Background in entertainment, media, or consumer-facing industries
  • Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Computer Science, Economics, Mathematics)
  • We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.