Job description

As a Data Scientist, you’ll apply innovative statistical and machine learning methods in a scientifically rigorous manner to dive into the largest and most complex data across the enterprise to answer the most difficult questions that are foundational to driving real-world value by offering deep insight into every aspect of the business. In this role, you will have the opportunity to be involved in the most important strategic efforts to provide analytic thought leadership that drives a data-grounded perspective to help Best Buy think critically and differently about all aspects of our business to improve our core capabilities and unleash the next generation of customer experiences that will transform the way Best Buy operates day-to-day. This role is hybrid, which means you will be required to work on site Monday through Thursday at the Best Buy corporate office in Richfield, Minnesota. You can work virtually from home or another non‑Best Buy location on Friday. The recruiter or hiring manager will provide more details during the hiring process. This position is not eligible for immigration sponsorship. Relocation assistance is not available for this role. What you'll do • Apply scientific methods to solve real-world business problems using data • Utilize cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions across all areas of the business but primarily Marketing and Customer • Employ broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy’s core data science capabilities • Mine large structured and unstructured data appropriately to glean actionable insights and to make recommendations on how the data can be used to help solve straightforward business problems • Communicate with business partners to effectively translate complex models and solutions to different audiences • Collaborate with other stakeholder teams to implement and deploy scalable solutions Basic qualifications • Bachelor's degree in a highly quantitative field (e.g. Data Science, Statistics, Computer Science, Engineering, Math, Operations Research, etc) • 2 or more years of experience in data science, data analysis, data mining or other similar business functions. • 2 or more years of experience with data science/analytics programming languages (e.g. Python, R) • 2 or more years of experience implementing impactful ML models. • 2 or more years writing SQL queries and working with relational databases. • Experience presenting complex technical information to a wide variety of audiences Preferred qualifications • Master's degree in a highly quantitative field (e.g. Data Science, Statistics, Computer Science, Engineering, Math, Operations Research, etc) • Experience with Causal Inference • Experience with Retail Market Data, Market Share Data • Experience working with LLMs in a production setting (prompt engineering, Agentic AI, etc.) • Experience building production ready machine learning models • Familiar with Cloud computing platforms (e.g. GCP, AWS) • Familiar with Git What’s in it for you 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. Our benefits include: • Competitive pay • Generous employee discount • Physical and mental well-being support 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. 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 Incentive Programs Summary . For more information about benefits, LOA and paid time off, please refer to our Benefits Guide . About us 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. 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. ™ Best Buy is an equal opportunity employer Req #: 1042872BR Brand: Best Buy Job Category: DAT Group Job Level: Individual Contributor Minimum Pay: 93,150.00 Maximum Pay: 166,850.00 Store Number or Department: 900010 Corporate 1 MN Address Line 1: 7601 Penn Avenue South Search Categories: Corporate, Data and Analytics Zip: 55423-8500 Benefits: Best Buy offers a range of benefits to support your overall well-being, as outlined in the Benefits Guide . Eligibility may vary.

Requirements

Must-haves

Relocation assistance is not available for this role.
What you'll do • Apply scientific methods to solve real-world business problems using data
Utilize cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions across all areas of the business but primarily Marketing and Customer
Employ broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy’s core data science capabilities
Mine large structured and unstructured data appropriately to glean actionable insights and to make recommendations on how the data can be used to help solve straightforward business problems
Communicate with business partners to effectively translate complex models and solutions to different audiences
Collaborate with other stakeholder teams to implement and deploy scalable solutions
Basic qualifications • Bachelor's degree in a highly quantitative field (e.g. Data Science, Statistics, Computer Science, Engineering, Math, Operations Research, etc)
2 or more years of experience in data science, data analysis, data mining or other similar business functions.
2 or more years of experience with data science/analytics programming languages (e.g. Python, R)
2 or more years of experience implementing impactful ML models.
2 or more years writing SQL queries and working with relational databases.
Experience presenting complex technical information to a wide variety of audiences
Experience with Causal Inference
Experience with Retail Market Data, Market Share Data
Experience working with LLMs in a production setting (prompt engineering, Agentic AI, etc.)
Experience building production ready machine learning models
Familiar with Cloud computing platforms (e.g. GCP, AWS)
Familiar with Git
What’s in it for you
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.
Our benefits include: • Competitive pay
Physical and mental well-being support

Nice-to-haves

Preferred qualifications • Master's degree in a highly quantitative field (e.g. Data Science, Statistics, Computer Science, Engineering, Math, Operations Research, etc)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonmlsqlaigcpaws

Platform: brassring
Effort: medium

Benefits

Benefits detected in the listing.

Pto

Paid Time Off