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Decision Engineer Jobs in Minnesota (NOW HIRING)

Vizient, Inc.

Staff Engineer

Edina, MN · On-site

Lead architectural decision-making and define technical strategies for platform scalability ... Mentor engineers and analytics professionals while championing modern engineering practices ...

Vizient, Inc.

Staff Engineer

Edina, MN · On-site

Lead architectural decision-making and define technical strategies for platform scalability ... Mentor engineers and analytics professionals while championing modern engineering practices ...

Vizient

Staff Engineer

Minneapolis, MN · On-site

Lead architectural decision-making and define technical strategies for platform scalability ... Mentor engineers and analytics professionals while championing modern engineering practices ...

Actalent

Mechanical Engineer

Hopkins, MN · On-site

Use data-based decision making and statistical analysis to validate design concepts and support engineering decisions. * Develop and maintain engineering standards, design guidelines, and best ...

Vantive

Principal Engineer

Plymouth, MN · On-site

Drive use of analytical tools and data-driven decision making * Contribute to strengthening team capabilities in container materials and container process engineering. Collaboration, Influence ...

Vantive

Principal Engineer

Plymouth, MN

Drive use of analytical tools and data-driven decision making * Contribute to strengthening team capabilities in container materials and container process engineering. Collaboration, Influence ...

Mortenson

AI Engineer

Minneapolis, MN · On-site

Mortenson is currently seeking an AI Engineer that will play a key role in developing, testing, and deploying AI solutions that enhance decision-making, automate workflows, and unlock new value ...

Indotronix International Corporation

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Responsibilities - Design, build, and optimize robust, scalable ETL/ELT data pipelines using GCP technologies, Apache Beam, Airflow, Python, and SQL - Lead technical decision-making, set engineering ...

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Decision Engineer information

What are the key skills and qualifications needed to thrive as a Decision Engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a Decision Engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What are Decision Engineers?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Decision Engineer jobs in Minnesota? For Decision Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Decision Engineer jobs in Minnesota look for? The top searched job categories for Decision Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Decision Engineer jobs? Cities in Minnesota with the most Decision Engineer job openings:
Decision Engineer jobs near you

Decision Scientist - Unstructured Data Intelligence

Best Buy

Richfield, MN

Other

Retirement, PTO

Posted 9 days ago

Best Buy rating

6.8

Company rating: 6.8 out of 10

Based on 1,774 frontline employees who took The Breakroom Quiz

14th of 30 rated technology retailers

Job description

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 immigrationsponsorship. 
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.

What Best Buy employees say

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About BEST BUY

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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.™

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Richfield, MN, US

Year founded

1966

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