Decision Scientist - Unstructured Data Intelligence

The Go-to-Market Strategic Analytics team delivers advanced analytics, measurement, and decision support across Best Buy's non-retail, customer-facing experiences (Digital, Category, Marketplace, Services, and Support). This role focuses on unlocking value from large-scale unstructured enterprise data and applying advanced analytical, statistical, and AI-driven techniques to solve complex business challenges. You will partner cross-functionally to leverage sources such as contact center transcripts, customer reviews, survey feedback, operational notes, and other text-based datasets to identify emerging issues, uncover root causes, quantify business impact, and influence enterprise strategy.

As a Decision Scientist, you will lead analytical initiatives focused on transforming unstructured data into measurable business outcomes. You will apply advanced analytics, large language models (LLMs), natural language processing techniques, and statistical methodologies to discover insights that would otherwise remain hidden within enterprise data. You will work across teams to develop scalable analytical solutions, quantify customer and business impacts, and help guide investments that improve customer experience, operational performance, and long-term business results.

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.

What you'll do

• Lead analytical initiatives that leverage structured and unstructured data to solve complex customer, operational, and business challenges.
• Apply advanced analytics, AI, and large language models (LLMs) to generate insights from contact center interactions, customer feedback, operational notes, and other enterprise data sources.
• Identify root causes, emerging trends, customer pain points, and operational opportunities through advanced analytical techniques.
• Assess the frequency, severity, and long-term customer and business impacts of identified issues to help prioritize enterprise investments and improvement efforts.
• Translate ambiguous business questions into analytical approaches and data-driven recommendations.
• Develop repeatable analytical solutions and AI-enabled workflows that improve the speed, quality, and scale of insight generation.
• Partner with business and technology teams to influence decisions through compelling analysis and storytelling.
• Stay current on emerging AI and analytics capabilities, applying new techniques to deliver business value.

Basic qualifications

• 3+ years experience in analytics, data science, or a related field, applying analytical and statistical techniques to solve business problems and influence decision-making.
• 2+ years experience using SQL and/or Python to analyze and transform data.
• 2+ years experience working with large and complex datasets from multiple sources.
• 1+ year experience applying AI, machine learning, natural language processing, or large language models to real-world business challenges.
• Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Data Science, Business Analytics, or a related quantitative field.

Preferred qualifications

• Experience leveraging generative AI technologies, including LLMs, prompt engineering, RAG, AI agents, or related capabilities.
• Experience analyzing unstructured customer or operational data such as contact center interactions, customer reviews, survey feedback, or case notes.
• Strong analytical foundation in statistical analysis, experimentation, predictive modeling, or text analytics.
• Demonstrated success influencing business decisions through data-driven insights and recommendations.
• Excellent communication skills, with the ability to translate complex analyses into clear business actions.
• Experience in customer experience, contact center analytics, retail, e-commerce, or related industries.
• Master's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Data Science, Business Analytics, or a related quantitative field.

What's in it for you

We're committed to helping our people thrive at work and at home. Best Buy offers a range of benefits to support your overall well-being and provide support as you need it, especially at key moments in your life.

Our benefits include:

• Competitive pay

• Great employee discount

• Financial savings and retirement resources

• Support for your physical and mental well-being

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.

Application deadline: Minimum of 5 days from the posting date. You can find that date above the job title at the top of the page.

Auto Req. ID1034966BR

Location Number 900010 Corporate 1 MN

Address 7601 Penn Avenue South$79050 - $140400 /yr

Pay Range $79050 - $140400 /yr