Data Scientist

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties.

At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset.

As we continue to scale our global platform, the Senior Data Scientist, Supply Chain & Inventory Optimization will play a critical role in maximizing supply chain efficiency and inventory financial performance through ML-driven modeling, pricing optimization, and demand forecasting.

ROLE OVERVIEW

This role sits within a high-impact team responsible for product lifecycle modeling, pricing and promotional optimization, clearance management, demand forecasting, network simulation, and inventory sourcing, allocation, and balancing. The Senior Data Scientist will bring a rigorous, ML-driven mindset across operational modeling, forecasting, pricing, and product strategy — moving fluidly across domains in a collaborative, fast-moving team culture with a strong emphasis on delivering measurable business impact amid frequently shifting requirements. The Senior Data Scientist delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights.

HOW WILL YOU DRIVE IMPACT

Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes.

Team & Leadership Impact (Build Championship Teams)

• Partner cross-functionally with engineering, product, and operations teams to frame complex supply chain and inventory problems and translate analytical models into decisions and tools that get adopted.
• Communicate modeling tradeoffs and results clearly to both technical and non-technical audiences, building trust and shared understanding across teams.
• Contribute to a collaborative team culture by sharing methodologies, reviewing peers' work, and supporting the growth of junior data scientists.

Fan & Customer Impact (Obsessed with Fans)

• Build demand forecasting and product performance models that ensure the right products are available to fans at the right time and place.
• Develop pricing and promotional optimization models that improve the fan value experience while protecting financial performance.