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<div><b data-olk-copy-source="MailCompose">Data Scientist - Supply Chain Analytics </b><br><br>As a Data Scientist on the Supply Chain Analytical Solutions team, you’ll contribute to solving complex supply chain challenges that directly impact how products move from warehouses to customers. You will partner with business, technology, data engineering, and analytics teams to translate supply chain opportunities into data-driven insights, models, and decision-support solutions that deliver measurable business value. A strong candidate will have hands-on experience applying data science and operations research methods to real-world business problems, with the ability to work through ambiguity, communicate findings clearly, and collaborate effectively with technical and non-technical partners.

<br><br>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.<br> <br><b>What you’ll do</b><br> <ul><li>Apply statistical modeling, machine learning, optimization, simulation, forecasting, and other data science and operations research techniques to solve supply chain problems.

</li><li>Source, clean, transform, interpret, and analyze large structured and unstructured data sets to generate insights and inform operational decisions that lead to better outcomes. </li><li>Actively work to identify improvements to internal processes, to improve analytical outcomes, and drive enterprise KPIs.</li><li>Collaborate with a team of decision and data scientists and interact with cross-functional partners to ensure accurate, timely, and impactful delivery of projects.</li><li>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.</li><li>Craft compelling presentations to communicate analytical findings, model results, business implications, and recommendations to technical teams, business stakeholders, and leadership.</li><li>Explore and apply emerging analytics methods and technologies to advance supply chain capabilities.</li></ul> <br><b>Basic qualifications</b><br> <ul><li>Bachelor’s degree in mathematics, statistics, economics, computer science, operations research, industrial engineering or a related quantitative field </li><li>Working knowledge of various analytical and statistical methods (i.e., data analysis, statistics, operations research, and/or machine learning) with application to business problems. </li><li>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.

</li><li>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).   </li><li>1+ years hands-on experience working on large structured and unstructured data environments </li></ul> <br><b>Preferred qualifications</b><ul><li>Master’s or PhD in a quantitative discipline (Operations Research, Industrial Engineering, Statistics, Applied Mathematics, Computer Science, or similar).  </li><li>1+ years of experience in the retail industry with focus on order lifecycle, final mile fulfillment, logistics and warehouse operations.  </li><li>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.  </li><li>Experience working with globally distributed teams. </li></ul><br><br><b>What’s in it for you</b><br><br>We’re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.<br><br>Our benefits include:<ul><li>Competitive pay</li><li>Generous employee discount</li><li>Physical and mental well-being support</li></ul><br>Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility. The length of your LOA depends on your situation, where you live, your full-time or part-time employment status, and federal and state regulations.

Intermittent or reduced-schedule leave is also available for certain medical or family care leaves. Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.<br><br>Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our <a href="https://sn.bestbuy.com/myhr?id=kb_article&sysparm_article=KB0234548" id="OWA90720d5f-8f9d-5fa5-563e-0eb027d01d1b"><u>Incentive Programs Summary</u></a>.<br><br>For more information about benefits, LOA and paid time off, please refer to our <a href="https://benefitsguide.bestbuy.com/" id="OWAf906ae2d-7986-681f-549a-dfa07a777e17"><u>Benefits Guide</u></a>.<br><br><b>About us</b><br><br>As part of the Best Buy team, you’ll help us fulfill our purpose to enrich lives through technology.

We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online and in customers’ homes.<br><br>Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We’re committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future.

Tomorrow works here.™<br><br>Best Buy is an equal opportunity employer.</div> <p> Position Type: Full timePandoLogic. Keywords: Data Scientist, Location: Minneapolis, MN - 55423