Senior Data Scientist at Best Buy

As a Senior Data Scientist, you will lead high-impact analytics initiatives within our Ads Analytics team. In this manager-level role, you’ll guide technical execution, mentor data scientists, and collaborate across teams to deliver insights that shape our advertising ecosystem.

You’ll dive deep into experimental design, predictive modeling, and Bayesian statistics—while also helping build scalable analytics infrastructure and AI-powered tools. If you love solving complex problems and translating data into clear, actionable strategies, this is the role for you.

This role is hybrid, which means you will be required to work some days at our Best Buy office in Richfield, Minnesota, or New York City, and some days virtually from home or another non-Best Buy location. Candidates outside these metro areas may qualify for remote work. The recruiter or hiring manager will provide more details during the hiring process.

What You’ll Do

• Lead analytics projects focused on ad performance, client measurement, and experimentation.
• Design and oversee experiments to evaluate product impact and optimize advertising outcomes.
• Build forecasting models and apply Bayesian frameworks to support strategic decisions.
• Develop scalable data pipelines and reporting tools across cloud platforms.
• Communicate insights through clear, compelling visualizations for technical and non-technical audiences.
• Mentor junior data scientists and foster technical excellence across the team.

Basic qualifications

• 4+ years of experience focused on advertising, marketing analytics, or client measurement, with a strong ability to connect data insights to business strategy.
• 2+ years of experience in experimental design, statistical modeling, and causal inference, with a conceptual understanding of how these methods support decision-making and business impact.
• Proficient in Python or R and SQL, with 1+ years of experience writing code that supports both analytical rigor and scalable data workflows.
• 1+ year of experience working within cloud-based data environments (e.g., GCP, AWS, Azure), with a conceptual understanding of cloud infrastructure and its role in scalable analytics.
• 2+ years of experience leading data-driven projects, influencing cross-functional teams, and translating complex concepts into actionable strategies
• 1 + year of experience in client-facing role or supporting client sales teams

Preferred qualifications

• Bachelor's Degree on Statistics, Computer Science or a related field
• Advanced degree in Statistics, Computer Science, or a related field.
• Familiarity with AI/ML tools and their business applications.

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.