Note: The job is a remote job and is open to candidates in USA. Fanatics is building a leading global digital sports platform. They are seeking a Data Scientist III to drive predictive insights across various business lines, focusing on enhancing decision-making through data and analytics.
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
Skills
- 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
- 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
Benefits
- In addition to the base and bonus, full-time employment, and more.
- For information about our benefits, please visit
Company Overview
Company H1B Sponsorship