Data Scientist I at Fanatics Betting & Gaming | US | Rezi

Data Scientist I at Fanatics Betting & Gaming

Data Scientist I

Fanatics Betting & Gaming · US

1 weeks ago

Data Scientist I

Fanatics Betting & Gaming · US

11 days ago
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About the Role

Fanatics Betting and Gaming is seeking a Data Scientist I to join its newly formed Data Science team. This role will focus on generating insights to drive business growth, partnering closely with senior commercial stakeholders and their teams to support high-level Sportsbook & Casino strategy and provide ongoing analysis and recommendations.

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.
  • Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.

Requirements

  • 0-2 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.
  • 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.
  • 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) is a significant plus.
  • Expertise in experimental design and causal inference, including A/B/n testing, quasi-experiments, and uplift modeling to determine true incremental value.

Skills

  • SQL
  • Python
  • Machine Learning Models
  • Statistics
  • Regression
  • Clustering
  • A/B Testing
  • Generative AI
  • LLM
  • Experimental Design
  • Causal Inference
  • A/B/n Testing
  • Quasi-experiments
  • Uplift Modeling

Location

  • New York
  • Denver
  • Leeds
  • Dublin

Work Type

  • Full-time

Experience Level

  • 0-2 years

Education Level

  • Degree in a quantitative field

Salary/Compensations

  • $84,000—$118,000 USD

Benefits

  • Full-time employment
  • https://benefitsatfanatics.com/

About the Company

  • Fanatics is building a leading global digital sports platform, igniting the passions of global sports fans and maximizing the presence and reach for its hundreds of sports partners globally.
  • The company offers products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming.
  • Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties; and over 2,000 retail locations, including its Lids retail stores.
  • Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform, launched in 2021.
  • 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.

Equal Opportunity

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