Senior Supply Chain Data Scientist

KEY RESPONSIBILITIES:

• Data Analysis & Reporting: Use advanced analytics techniques to analyze large datasets from various supply chain functions (e.g., inventory planning, procurement, distribution, transportation) and generate actionable insights bringing end-to-end supply chain visibility.
• Supply Chain Network Design & Optimization: Leverage modeling tools along with programming languages (e.g., Python, R) to optimize supply chain networks, including site selection, transportation routes, warehouse configuration and sourcing optimization.
• Model Development & Optimization: Develop and implement supply chain models using Python, R, or other advanced modeling tools. Work on optimizing processes related to end-to-end supply chain, planning, network design, inventory management, and distribution.
• Collaboration & Cross-Functional Support: Partner with supply chain leadership, data engineers, and IT teams to ensure data integrity and integration across systems, while supporting cross-functional business teams in leveraging data-driven insights for decision-making.
• Tool Development & Automation: Build and automate dashboards, reports, and scripts using Python, R, or other BI tools to provide real-time insights and enhance supply chain cost to serve efficiency while protecting service.
• Continuous Improvement & Best Practices: Continuously evaluate emerging technologies and methodologies to improve supply chain operations and adopt industry best practices.

QUALIFICATIONS:

• Education: Bachelor's or Master's degree in Supply Chain Management, Data Science, Computer Science, or a related field.
• 7+ years of experience in supply chain analytics, business analysis, or a related field, with a focus on data science and optimization.
• Proven experience with data analysis, statistical modeling, and machine learning techniques in a supply chain context.
• Experience leading supply chain network optimization initiatives with a strong track record of managing the full lifecycle—from data selection and scenario development to implementation and analysis.
• Proficient leveraging supply chain modeling tools like Optilogic or Llamasoft
• Proficiency in programming languages such as Python and R for data analysis, modeling, and automation.
• Strong knowledge of data visualization tools (e.g., MicroStrategy, Tableau, Power BI) and experience in creating interactive dashboards and reports.
• Analytical Skills: Strong quantitative and analytical skills, with the ability to turn complex data into clear insights and actionable recommendations.
• Problem-Solving: Ability to solve complex supply chain problems using data-driven approaches and optimization techniques.
• Communication Skills: Excellent verbal and written communication skills, with the ability to communicate complex data findings and technical details to non-technical stakeholders.

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 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 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