Data Scientist, Marketing

Fox Corporation•Los Angeles, CA

1d•$114,000 - $120,000•Onsite

About The Position

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.

Requirements

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 Haves

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

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