Data Scientist III

Role Description

We are seeking a Data Scientist III to drive predictive insights through a cross-vertical enterprise lens at the intersection of all our Fanatics businesses (Advertising & Loyalty, Betting & Gaming, and eCommerce & Collectibles). You will translate fan signals into measurable enterprise value through advanced segmentation, targeting, and the Next Best Action models that power personalization across the entire fan lifecycle.

Responsibilities

• Develop a deep understanding of the end-to-end customer lifecycle across all Fanatics lines of business, building a unified view of fan behavior across commerce, betting, collectibles, and media.
• Build, deploy, and iterate on Lifetime Value (LTV) models, including probabilistic frameworks and retention-based approaches, to improve enterprise customer segmentation and cross-sell opportunities.
• Design and implement churn, reactivation, and propensity models that feed directly into loyalty, CRM, and promotional decision-making across business units.
• Apply causal inference and uplift modeling to measure true incremental value of cross-BU promotions and personalization strategies.
• Develop analytical and science frameworks that facilitate enterprise trade-offs and executive decision-making across business units.
• Build strong relationships with stakeholders across Advertising & Loyalty, Betting & Gaming, and eCommerce & Collectibles to drive an ecosystem-wide data mindset.

Qualifications

• A minimum of 3-5 years proven experience in a data science or advanced analytics role.
• Degree in a quantitative field, e.g., Mathematics, Physics, Statistics, Engineering, or Computer Science, Economics.
• Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
• Hands-on experience with LTV or customer value modeling (probabilistic frameworks, retention curve modeling, or cohort-based CLV) in a consumer, subscription, or transactional environment.
• Proven experience with experiment design in loyalty or promotional contexts.
• Strong grasp of survival analysis and its application to customer churn and retention modeling.
• Demonstrated ability to partner with stakeholders, earning trust through data-driven insights and clear communication.
• Outcome-oriented and data-driven; comfortable navigating fast-paced, high-growth environments.

Preferred But Not Required

• Prior experience with multi-brand or multi-product customer data, identity resolution, or unified customer modeling across verticals.
• Experience experimenting with Generative AI solutions (e.g., LLM-based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.

Salary Range

$1,117,000 — $1,167,000 USD

Benefits

For information about our benefits, please visit