Data Scientist III - FES

Full Timemid

New York, New York, US$117k – $167kPosted 23 days ago

Role Overview

Fanatics is hiring a mid-level Data Scientist III - FES. This is a full-time role in New York, New York. Part of Fanatics's Trading hiring, posted 3 weeks ago. The posted range is $117k to $167k. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

About Us

Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

About Us

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

About The Team

We are the Fan Ecosystem Data team, responsible for enhancing decision-making and innovation across the entire Fanatics ecosystem through data and analytics. We build products that turn disparate data streams into real-time actionable insights, empowering teams to unlock greater value for our customers and stakeholders across every Fanatics surface.

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.

Experience And 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.

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.

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.

For information about our benefits, please visit https://benefitsatfanatics.com/

Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/

Salary Range

$117,000 - $167,000 USD

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Frequently Asked Questions

How do I apply for the Data Scientist III - FES position at Fanatics?

Use the Apply button above to submit your application directly to Fanatics. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Data Scientist III - FES position at Fanatics located?

This position is based in New York, New York. Fanatics has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

How much does the Data Scientist III - FES role at Fanatics pay?

Fanatics has posted a compensation range of $117k to $167k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.

When was the Data Scientist III - FES role at Fanatics posted?

This role was posted on June 11, 2026 (23 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.