Data Scientist - Supply Chain Analytics

About the role

Contribute to solving complex supply chain challenges that directly impact product movement from warehouses to customers. Partner with business, technology, data engineering, and analytics teams to translate supply chain opportunities into data-driven insights, models, and decision-support solutions.

Responsibilities

• Apply statistical modeling, machine learning, optimization, simulation, forecasting, and other data science and operations research techniques to solve supply chain problems.
• Source, clean, transform, interpret, and analyze large structured and unstructured data sets to generate insights and inform operational decisions that lead to better outcomes.
• Actively work to identify improvements to internal processes, improve analytical outcomes, and drive enterprise KPIs.
• Collaborate with a team of decision and data scientists and interact with cross-functional partners to ensure accurate, timely, and impactful delivery of projects.
• Develop a deep understanding of Best Buy’s supply chain operations and serve as a trusted partner in identifying opportunities where analytics can meaningfully improve operational outcomes.
• Craft compelling presentations to communicate analytical findings, model results, business implications, and recommendations to technical teams, business stakeholders, and leadership.
• Explore and apply emerging analytics methods and technologies to advance supply chain capabilities.

Requirements

• Bachelor’s degree in mathematics, statistics, economics, computer science, operations research, industrial engineering or a related quantitative field.
• Working knowledge of various analytical and statistical methods (i.e., data analysis, statistics, operations research, and/or machine learning) with application to business problems.
• 2+ years of relevant experience in data science or quantitative field, including 1+ years of applied or industry experience; or the equivalent combination of education and experience.
• 2+ 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).
• 1+ years hands-on experience working on large structured and unstructured data environments.

Qualifications

• Master’s or PhD in a quantitative discipline (Operations Research, Industrial Engineering, Statistics, Applied Mathematics, Computer Science, or similar).
• 1+ years of experience in the retail industry with focus on order lifecycle, final mile fulfillment, logistics and warehouse operations.
• 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.
• Experience working with globally distributed teams.

Skills

• Hands-on experience applying data science and operations research methods to real-world business problems.
• Ability to work through ambiguity and communicate findings clearly.
• Collaborative skills with technical and non-technical partners.
• Deep understanding of Best Buy’s supply chain operations.
• Ability to craft compelling presentations.
• Exploration and application of emerging analytics methods and technologies.

Benefits

Competitive pay, generous employee discount, physical and mental well-being support, various types of leaves of absence (LOA), and potential pay sources based on eligibility. For more information, refer to the Benefits Guide.

Pay

Details on pay structure will be provided during the hiring process.

Schedule

The role is hybrid, requiring 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. Specific work arrangements vary by role and team.