Data Scientist I

Posted 3 Days Ago
Denver, CO, USA
In-Office
82K-110K Annually
Junior
eCommerce • Retail • Software • Sports
Tech-First Sports Licensed E-Commerce Cutting-Edge Company
The Role
Data Scientist I will support Sportsbook and Casino commercial strategy through advanced analytics, machine learning, personalization, promotion engines, and lifetime value modeling. Responsibilities include analyzing player behavior, developing segmentation and LTV models, conducting experiments and causal analyses, collaborating with stakeholders and data teams, and delivering data-driven recommendations. The role requires strong Python, SQL, statistics, experimental design, and machine learning skills, with iGaming, customer lifetime value, or generative AI experience preferred.
Summary Generated by Built In
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 the Team

Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.

We are seeking a Data Scientist I to join our growing Data Science organization on our newly formed Decision Science team. The role reports into the Decision Science Manager and will focus on creating insight to drive the growth of the business, partnering closely with senior commercial stakeholders and their teams. Supporting commercial and analytics stakeholders with high level Sportsbook & Casino strategy will be a top priority for this Data Scientist, as well as providing ongoing analysis and recommendations to stakeholders. 

Responsibilities

  • Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behavior.
  • Build strong relationships with stakeholders across both Sports and Casino business units, serving as a key technical contributor to driving total commercial performance.
  • Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
  • Contribute to the development, deployment, and iterative improvement of automated personalization and promotion engines across the iGaming suite.
  • Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency.
  • Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.

Experience and Skills

  • A minimum of 2+ 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.
  • Strong understanding of statistics concepts such as regression, clustering, and A/B testing in high-growth environments.
  • Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.
  • 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

  • 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.
  • Previous experience in iGaming (Sportsbook or Casino), or previous experience with Customer Lifetime Value models is a significant plus.

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
$82,000—$110,000 USD

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Skills Required

  • At least 2 years of experience in data science or advanced analytics
  • Degree in a quantitative field such as Mathematics, Physics, Statistics, Engineering, Computer Science, or Economics
  • Strong SQL proficiency
  • Strong Python proficiency
  • Experience building and validating machine learning models
  • Strong understanding of regression, clustering, and A/B testing
  • Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling
  • Ability to partner with stakeholders and communicate data-driven insights clearly
  • Experience with Generative AI solutions, such as LLM-based analysis, automation, or insight generation
  • Previous iGaming experience or experience with Customer Lifetime Value models

Fanatics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fanatics and has not been reviewed or approved by Fanatics.

  • Strong & Reliable Incentives — Incentives like annual bonuses and overtime opportunities are common, supporting higher total compensation especially in corporate roles. Seasonal premiums and performance bonuses are also cited across roles.
  • Healthcare Strength — Multiple medical plan options, mental-health services, and wellness programs are highlighted as core offerings. Additional supports like HSAs/FSAs and condition management further strengthen the health package.
  • Parental & Family Support — Paid maternity and paternity leave, fertility benefits, adoption assistance, and gender-affirmation coverage are explicitly included. Childcare support and backup care resources are also referenced.

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The Company
HQ: New York, NY
7,500 Employees
Year Founded: 1995

What We Do

Transforming the licensed sports industry through an innovative vertical e-commerce model that allows Fanatics to quickly design, manufacture and distribute high-quality fan gear across retail channels, better serving the real-time expectations of leagues, teams, fans and retailers in today’s mobile-first, on-demand culture.

Why Work With Us

You don't have to love sports to work here (though we love sports fanatics as well!). Fanatics is an industry leading, multi-billion dollar, international, privately held company with a casual, lofty space in the heart of Downtown Boulder. We have the advantages of a startup, without the pitfalls.

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