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Data Scientist
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
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
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
This position is not eligible for immigration sponsorship
What you’ll work on
Full postingBuild data-driven solutions using statistical and machine learning methods
Mine large structured and unstructured data for actionable insights
Translate complex models and solutions for business partners
Deploy scalable solutions with stakeholder teams
From the employer’s posting
Utilize cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions
Mine large structured and unstructured data appropriately to glean actionable insights
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
Education & alternatives
- 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.
- 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
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20267 days ago
- Recorded sightings
- 47
- Last seen by us
- Nov 3, 2026
- Employer says posted
- Oct 20, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
25632:5649 is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- AWS
- GCP
Where the posting names them
- 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 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 building production ready machine learning models - Familiar with Cloud computing platforms (e.g. GCP, AWS) - Familiar with Git
Your next step
Complete your application on sjobs.brassring.com. The employer’s form will show what is required.
Already applied? Track this application
About 25632:5649
- People
- About 7,741 in 2025.Benefit plan filings (Form 5500)
- Company
- Listed as BBY.
- H-1B visas
- 17 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 106 people. The latest was filed January 16, 2026.State WARN notices
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
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:
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
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
- 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
- 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
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
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
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