Temp Data Scientist (R50030488)

OVERVIEW OF THE COMPANYFOX Entertainment With a legacy spanning more than 35 years, FOX Entertainment is one of the world's most recognizable media brands and a prolific content producer across its iconic broadcast network and both owned and third-party streaming platforms. Known for its independent, innovative spirit and provocative, groundbreaking storytelling, the company was reinvented in 2019 with the formation of FOX Entertainment. While maintaining its leadership in broadcast television (9-1-1: Lone Star, The Simpsons, The Cleaning Lady, Hell's Kitchen, LEGO Masters), the company is actively building a portfolio of businesses and library of owned original content. To date, FOX Entertainment's long-term growth strategy has included the acquisitions of award-winning animation studio Bento Box Entertainment (Bob's Burgers, The Great North, Krapopolis, Grimsburg), entertainment platform TMZ, and global production studio MarVista Entertainment (The Way Home, Rescuing Christmas), as well as the formation of the culinary and lifestyle content venture Studio Ramsay Global (Next Level Chef, Gordon Ramsay's Food Stars) in partnership with Gordon Ramsay. The company also established its in-house unscripted studio FOX Alternative Entertainment (The Masked Singer, Snake Oil, I Can See Your Voice, Name That Tune), FOX Entertainment Studios (Animal Control) to develop scripted content, and worldwide content sales unit FOX Entertainment Global. JOB DESCRIPTION

FOX Entertainment is seeking a skilled and curious Data Scientist (Temp) to join our Data Science and Analytics team, where advanced analytics, AI, and creativity converge to power smarter marketing decisions. In this role, you'll apply your technical expertise to develop and refine Marketing Mix Models (MMM) and predictive frameworks that measure marketing effectiveness across channels, optimize campaign performance, and drive strategic planning. Collaborating with senior data scientists and marketing stakeholders, you'll turn complex data into actionable insights that shape FOX's marketing strategies and fuel audience growth across our entertainment portfolio.

A SNAPSHOT OF YOUR 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
• Present findings and insights to stakeholders in clear, actionable formats
  

WHAT YOU WILL NEED

• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Data Science, Computer Science, Economics, Mathematics)
• 3+ years of experience in data science, analytics, or statistical modeling
• Experience working with SQL and data visualization tools
• Proficiency in Python, R, and experience with data analysis libraries (e.g., pandas, scikit-learn)
• Strong foundation in statistical methods and predictive modeling techniques
• Strong communication skills and ability to translate technical findings for non-technical audiences.
• Familiarity with experimental design and A/B testing concepts

NICE TO HAVE BUT NOT A DEALBREAKER

• 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
• Background in entertainment, media, or consumer-facing industries
  

#LI-DNI

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.

Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $45.00-55.00 per hour.