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Decision Engineer Jobs in Minnesota (NOW HIRING)

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

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

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

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 ...

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

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 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 ...

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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 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 Scientist - Fulfillment Analytics

Best Buy

Richfield, MN • Hybrid

Other

This job post has expired today. Applications are no longer accepted.


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

Decision Scientist - Fulfillment Analytics
As the Decision Scientist - Fulfillment Analytics you will contribute to the design of analytical solutions that solve meaningful fulfillment problems and ensure our models translate into real-world impact. You'll help translate business questions into analytical approaches and partner with data scientists and software engineers to deliver impactful solutions. Successful candidates bring strong problem-framing, analytical, and collaboration skills. This role is ideal for someone who enjoys turning complex operational challenges into durable analytical solutions.
This role is hybrid, which means you will be required to work some days at our Best Buy office in Richfield, Minnesota, and some days virtually from home or another non-Best Buy location. The recruiter or hiring manager will provide more details during the hiring process.
What you'll do

  • Participate in scoping conversations to define analytical problems and solution approaches in the order fulfillment domain.

  • Conduct exploratory, statistical, or causal analyses to answer business questions.

  • Validate assumptions, interpret model outputs, and contribute to durable analytical solutions.

  • Define analytical data requirements and partner with platform and engineering teams to develop scalable data assets that support decision-making.

  • Evaluate data sourcing, integration, and governance options to enable secure and sustainable analytical solutions.

  • Collaborate with product, engineering, and business teams to prototype analytical solutions aligned to operational priorities.


Basic qualifications

  • Bachelor's degree in statistics, mathematics, economics, engineering, the physical sciences, computer science, or similar field with quantitative rigor.

  • Ability to apply foundational statistics (e.g., regression, hypothesis testing) to business questions.

  • 2+ years of experience applying analytical techniques to answer business questions or scientific questions.

  • 2+ years of experience in retail, analytics, business, or related area.

  • 2+ years of experience writing SQL and using Python, R, or a similar tool to query and transform data, conduct analysis, and build reproducible workflows.

  • Experience communicating complex ideas across technical and business audiences.


Preferred qualifications

  • Experience in fulfillment, supply chain, logistics, or related business domains.

  • Familiarity with statistical modeling, forecasting, optimization, or econometric techniques.

  • Experience contributing to analytical projects.

  • Proficiency with cloud-based analytics platforms (e.g., GCP, BigQuery, data warehouses).

  • Experience identifying, validating, and leveraging appropriate data assets, including building data preparation and ETL workflows to support analytical use cases.

  • Experience using visualization tools (e.g., Looker, Power BI, Tableau) to communicate insights.


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


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


What Best Buy employees say

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BEST BUY logo

About BEST BUY

Sourced by ZipRecruiter

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