Senior Data Scientist

Atlanta, GA, United States

Fanatics

Fanatics.com is the ultimate sports apparel and Fan Gear Store, featuring football Jerseys, T-shirts, Hats, Collectibles and merchandise for fans of the NFL, MLB, NBA, NHL, Soccer, and College.

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Key Responsibilities

  • Modeling & Forecasting: Develop and maintain predictive models across supply chain and inventory initiatives — including forecasting models, classification, regression, clustering, and segmentation tasks.
  • Optimization & Simulation: Build and refine models for network optimization, inventory allocation, sourcing, and internal transfers — using discrete optimization, simulation, and heuristic/metaheuristic techniques.
  • Exploratory Analysis & Feature Development: Use EDA and statistical analysis to develop features, understand drivers of performance, and improve model design.
  • Time Series Analysis: Design, test, and deploy time series models for demand forecasting, product performance tracking, and lifecycle modeling.
  • Cross-Functional Collaboration: Work closely with engineering, product, and operations partners to frame problems, communicate insights, and translate models into decisions and tools.
  • Tooling & Automation: Build scalable pipelines and decision-support tools using Python, Spark, and cloud-based infrastructure.
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Operations Research, or a related field
  • 5+ years of experience building and deploying models in a production or operational environment
  • Proficiency in Python (Pandas, Scikit-learn, NumPy) and SQL; experience with Spark or other distributed frameworks
  • Demonstrated experience with ****supervised learning (regression, classification), unsupervised learning (clustering, dimensionality reduction), and model evaluation techniques
  • Strong background in time series forecasting, including both classical (e.g., ARIMA, exponential smoothing) and ML-based methods (e.g., XGBoost, LSTM, DeepAR)
  • Experience applying discrete optimization (e.g., MIP, constraint solvers, genetic algorithms) to real-world problems
  • Familiarity with simulation-based modeling and tradeoff analysis
  • Experience with data visualization tools (e.g., Superset, Tableau) and stakeholder-facing communication
  • Strong communication skills, with the ability to explain complex modeling approaches to technical and non-technical audiences

 

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

Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site, www.fanatics.com.

Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Manchester United, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA).

At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do:

  • Build Championship Teams
  • Obsessed with Fans
  • Limitless Entrepreneurial Spirit
  • Determined and Relentless Mindset

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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Classification Clustering Computer Science Data visualization EDA Engineering LSTM Machine Learning Model design NumPy Pandas Pipelines Python Research Scikit-learn Spark SQL Statistics Superset Tableau Unsupervised Learning XGBoost

Perks/benefits: Conferences

Region: North America
Country: United States

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