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Active4w ago

Senior Data Scientist – Commerce Supply Chain Optimization

Fanatics Commerce·📍 Redwood City, CA, United States

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$170K – $210K/yr

Role overview

Job description

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 ef

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Role market pulse

How Data Scientist demand looks in United States

45/100 · steady

Live jobs

116

Posted 30d

22

30d movement

-69.4%

Remote share

37.1%

Salary listed

69%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

6+ years of experience building and deploying predictive models — spanning supervised learning (regression, classification), unsupervised learning (clustering, dimensionality reduction), and time series forecasting — in a production or operational environment. Strong proficiency in Python (Pandas, Scikit-learn, NumPy) and SQL, with hands-on experience using Spark or another distributed computing framework for scalable data processing. Deep expertise in time series forecasting using both classical methods (ARIMA, exponential smoothing) and ML-based approaches (XGBoost, LSTM, DeepAR), including rigorous model evaluation practices. Demonstrated experience applying discrete optimization techniques — including mixed-integer programming, constraint solvers, and genetic algorithms — to real-world business problems such as pricing, clearance, or network design. Familiarity with simulation-based modeling and tradeoff analysis for operational or supply chain decision-making. Experience with feature engineering and EDA-driven insight development to inform model design and uncover business performance drivers. Strong communication skills with the ability to clearly explain modeling tradeoffs a

Department · Commerce - Technology

FC

Hiring company

Fanatics Commerce

View the company profile, current openings and hiring details.

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