Senior Data Scientist - Supply Chain Analytics

Senior Data Scientist - Supply Chain Analytics

As a Senior Data Scientist on the Supply Chain Analytical Solutions team, you'll take the lead on solving complex supply chain challenges that directly impact how products move from warehouses to customers. You'll work across transportation, distribution, and fulfillment, turning messy data into clear, actionable insights. This is a hands-on, high-impact role where you'll frame problems, select appropriate methodologies, develop solutions, and see your work drive real results. If you enjoy tackling ambiguous problems and influencing decisions, you'll find this work both challenging and rewarding.  A strong candidate will have a proven track record of leveraging advanced data science and operations research techniques to improve operational performance, and producing solutions that deliver measurable business value and inform operational decisions. 

This role is hybrid, which means you will be required to work some days on-site at the Best Buy location listed on this posting and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.

What you'll do

• Lead the formulation and execution of complex, ambiguous analytics problems across supply chain domains, owning solutions end to end, from problem framing and methodology selection through deployment, monitoring, and measurement of business impact. 
• Serve as a trusted analytics advisor to fulfillment, logistics, and operations partners, to translate business context into models that drive measurable business impact through improved decisions. 
• Partner cross‑functionally with supply chain, technology, data engineering, and product teams to ensure analytical solutions are production‑ready, scalable, and adopted. 
• Effectively communicate with diverse audiences, including technical teams, business stakeholders, and executive leadership, through both written and verbal channels. 
• Provide technical leadership and mentorship to Data Scientists and Decision Scientists, raising analytical rigor, solution quality, and consistency across the team. 
• Explore and apply emerging analytics methods and technologies to advance supply chain capabilities, while establishing and reinforcing best practices for documentation, reproducibility, validation, and analytical standards. 

Basic qualifications

• Bachelor's degree in mathematics, statistics, economics, computer science, operations research, industrial engineering or a related quantitative field

• 4+ years of relevant experience in research and/or a quantitative field, including 3+ years of applied or industry experience or equivalent experience.
• 4+ years hands-on experience using data analytics (e.g., SQL, Python, R), and machine learning and/or optimization tools (i.e., Python, R, Gurobi, Vertex AI).  
• 2+ years of experience working with large, structured and unstructured datasets
• Ability to deliver solutions that drive measurable business outcomes
• Demonstrated track record of delivering analytics solutions that provide measurable business value and influence decisions. 
• Familiarity with and hands-on application of more than one analytical or modeling paradigm, such as optimization, machine learning, artificial intelligence, statistical modeling, simulation, or other operations research techniques, applied to real‑world business problems.

Preferred qualifications

• Master's or PhD in a quantitative discipline
• Experience in retail, supply chain, logistics or fulfillment
• ​​​​​​​Experience working with globally distributed teams