Associate Data Scientist – Supply Chain

Best Buy•Richfield, MN

6d•Hybrid

About The Position

Best Buy’s Advanced Analytics is on the forefront of Best Buy’s purpose to enrich lives through technology. The Advanced Analytic team is responsible for elevating our highest-stake, largest-impact decisions with advanced analytic insights and solutions. As a Data Scientist on the Supply Chain Analytics Team, you will play a key role within Best Buy Data & Analytics COE to drive transformational change in Best Buy’s supply chain. The contribution of this role directly impacts our customer and delivers differentiated value to Best Buy through innovative data capabilities and insights to highlight the opportunities present to optimize holistic Supply Chain processes and strategies. The team seeks a candidate with a background in applying analytic techniques to solve problems in supply chain across domains of Network Strategy, Inventory Management, and Assortment Optimization. A strong candidate will possess a background in a diverse slate of data science and optimization research techniques in addition to having a strong understanding of its application in retail supply chain. 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.

Requirements

Bachelor’s Degree from accredited college/university preferably in mathematics, statistics, economics, computer science, or related STEM field
2+ years of relevant experience in data science such as statistics, operations research, design and analysis of experiments, machine learning, and/or quantitative analysis
2+ years of experience using Python and SQL
Hands-on experience using data analytics and optimization tools (i.e., SQL, Python, R, Gurobi, Vertex AI).
Hands-on experience working in large structured and unstructured data environments

Nice To Haves

Masters in Operations Research, Industrial Engineering, Mathematics, Statistics, Economics, Computer Science, or related STEM field.
2+ years of experience in the areas of Operations Research and/or Supply Chain Projects (demand planning, forecasting, inventory, transportation, network optimization, segmentation, and S&OP) in sophisticated and complex environments
2+ years of experience of practical utilization and application of computer programming languages such as Python, R
Knowledge of Machine Learning / Deep Learning, including Python libraries like TensorFlow and PyTorch
Experience with Supply Chain Network Design software, including AIMMS SC Navigator, Tactical Planning, Inventory Planning
Experience working with globally distributed team

Responsibilities

Build an understanding of Best Buy’s supply chain operations and relevant processes and systems.
Source, interpret, and transform operational and transactional data into valuable analytical insights.
Use your knowledge of optimization, statistics, and predictive modeling to identify and test new analytic solutions that create improvements for business operations.
Craft and deliver compelling presentations to stakeholders, effectively communicating findings and recommendations to technical and non-technical audiences.
Collaborate with data engineers to design and implement scalable data pipelines and infrastructure for advanced analytics.
Serve as a trusted advisor to Best Buy’s Logistics, Inventory and Distribution Operations teams. Partnering for shared understanding and driving common outcomes.
Actively work to identify improvements to internal processes, to improve analytical outcomes and drive enterprise KPIs.
Explore and experiment with emerging technologies and methodologies in data science to continuously enhance the capabilities of the supply chain analytics team.
Collaborate with a team of decision and data scientists and interact with cross functional partners to ensure accurate, timely and impactful delivery of projects.
Formulate, research and solve business-critical problems.