Senior Data Scientist

As a Senior 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 extensive background in applying analytic techniques to solve problems in supply chain across domains of Global Transportation & Logistics, Inventory, and Distribution Operations Network and Processes. What you'll do

• 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.

Basic Qualifications

• Bachelor’s Degree from accredited college/university preferably in mathematics, statistics, economics, computer science, or related STEM field OR equivalent experience
• 4+ years of relevant experience in data science and/or a quantitative field, including 3+ years of applied or industry experience.
• Working knowledge of various analytic and statistical methods (i.e., data analysis, statistics, operations research and/or machine learning) with application to business problems.
• Hands-on experience using data analytics and optimization tools (i.e., SQL, Python, R, Gourbi, Vertex AI).
• Hands-on experience working in large structured and unstructured data environments

Preferred Qualifications

• Masters / PhD 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 R, Python, C, Java
• Knowledge of Machine Learning / Deep Learning, including Python libraries like TensorFlow and PyTorch
• Experience working with globally distributed team

What is in it for you
We are 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 at key moments in your life. Our benefits include:

• Competitive pay and PTO package
• Generous employee discount
• Physical and mental well-being support
• Robust benefit package

About us
As part of the Best Buy team, you will 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.


Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We are 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. ™