Data Scientist, Marketing

OVERVIEW OF THE COMPANY

FOX 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 looking for a Data Scientist to help solve high-impact marketing problems. You’ll join a team focused on understanding what moves audiences and optimizing how we reach them, using creative experimental design, practical modeling approaches, and sound statistical reasoning to deliver credible, actionable answers.

The Data Scientist will tackle high-visibility marketing problems with real data and real stakes, from understanding campaign performance to guiding budget allocation and identifying what drives audience behavior. We’re especially interested in someone who is intellectually curious, excited by open-ended business problems, and eager to grow in both scope and sophistication over time.

Regular, on-site attendance at the workplace for a minimum of four (4) days per week is an essential function of the position. The selected candidate must be able to reliably meet this requirement.

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Build and maintain marketing mix models (MMM) to quantify channel-level effectiveness and guide budget allocation

• Develop predictive models and simulations that feed directly into marketing strategy

• Design and analyze experiments, including A/B tests, from hypothesis through inference

• Work through ambiguous, imperfect, and messy real-world marketing data to produce useful, decision-ready analyses

• Partner with marketing, strategy, and finance to frame questions, align on methodology, and ensure analyses connect to real planning decisions

• Use modern AI tools to accelerate coding, analysis, and research workflows (e.g. Codex, Claude Code, Cursor), while maintaining strong statistical judgment

• Translate complex findings into clear, decision-ready insights for non-technical stakeholders

WHAT YOU WILL NEED

• 3+ years of applied experience in statistics, data science, or quantitative modeling (post-grad)

• Strong grounding in statistical inference, experimental design, regression, and predictive modeling

• Fluency in Python and SQL

• Hands-on comfort using modern AI-assisted tools as part of your day-to-day workflow

• Ability to communicate statistical findings clearly to non-technical audiences

• Degree in Statistics, Data Science, Economics, Mathematics, or a related quantitative field

NICE TO HAVE BUT NOT A DEALBREAKER

• Experience with MMM, attribution modeling, or causal inference in a marketing context

• Exposure to Bayesian methods, hierarchical modeling, or time-series modeling

• Cloud or big data experience (Databricks, AWS, GCP)

• Background in entertainment, media, or consumer industries

• Curiosity about emerging tools and methods, and a track record of adopting useful new workflows