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Operations Research Jobs in Minnesota (NOW HIRING)

Arenatechnologies

AFSIM Analyst

Virginia, MN · On-site

$85 - $105/hr

Group W provides wargaming, warfare modeling and simulation, software development, data analytics, and operations research/system analysis support to the national security mission. As a leader in the ...

Mayo Clinic

Senior Health Systems Engineer

Rochester, MN · On-site

$106K - $145K/yr

Qualifications Master's degree in management, industrial engineering, systems engineering, operations research, business administration, analytics, artificial intelligence or health-related field is ...

Mayo Clinic

Senior Health Systems Engineer

Rochester, MN · On-site

$106K - $145K/yr

Qualifications Master's degree in management, industrial engineering, systems engineering, operations research, business administration, analytics, artificial intelligence or health-related field is ...

Mayo Clinic

Senior Health Systems Engineer

Rochester, MN · On-site

$106K - $145K/yr

Identifies, recommends and implements transformational solutions for departments, sites, and shields including applied analytics and operations research methods, new staffing models, organizational ...

Mayo Clinic

Senior Health Systems Engineer

Rochester, MN · On-site

$106K - $145K/yr

Identifies, recommends and implements transformational solutions for departments, sites, and shields including applied analytics and operations research methods, new staffing models, organizational ...

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All JobsOperations Research JobsOperations Research Jobs in Minnesota

Operations Research information

See Minnesota salary details

$37.7K

$91.9K

$147.9K

How much do operations research jobs pay per year?

As of Aug 27, 2026, the average yearly pay for operations research in Minnesota is $91,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $113,100.00 per year, depending on experience, location, and employer.

What is operations research?

Operations research is a discipline that uses advanced analytical methods, such as mathematical modeling, statistics, and algorithms, to help organizations solve complex problems and make better decisions. Professionals in this field analyze data and systems to optimize processes, improve efficiency, and reduce costs. Operations research is applied in various industries, including logistics, manufacturing, healthcare, and finance, to support strategic planning and operational improvements.

What are the qualifications to get a job in operations research?

The qualifications to get a job in operations research typically include a bachelor’s degree and strong technical and mathematical skills. Data science, statistics, applied math, and engineering are all good subjects to study in college. It is also useful to have a working knowledge of the specific industry in which you work, such as logistics and delivery, healthcare, or business. More complex positions often require advanced degrees. In addition to these formal qualifications, programming experience with R or other statistical software and strong analytical skills are essential.

What are the key skills and qualifications needed to thrive as an operations research analyst, and why are they important?

To thrive as an Operations Research Analyst, you need strong quantitative analysis, mathematical modeling, and problem-solving skills, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages (such as Python or R), advanced Excel, and optimization software like CPLEX or Gurobi is often required. Outstanding communication, critical thinking, and teamwork abilities help translate complex data insights into actionable recommendations for stakeholders. These skills ensure effective analysis, informed decision-making, and successful implementation of solutions in complex organizational environments.

What are some typical challenges faced by professionals in operations research, and how can they be addressed?

Operations Research professionals often encounter challenges such as working with incomplete or imperfect data, translating complex mathematical models into actionable business solutions, and communicating technical findings to non-technical stakeholders. Successfully addressing these challenges involves collaborating closely with subject matter experts, utilizing robust data validation techniques, and developing strong communication skills to clearly convey results and recommendations. Additionally, staying updated on the latest optimization tools and methodologies can help streamline problem-solving processes.

What is the difference between Operations Research vs Data Analyst?

AspectOperations ResearchData Analyst
Required CredentialsBachelor's or master's in operations research, industrial engineering, or related fieldsBachelor's or master's in statistics, mathematics, or data science
Work EnvironmentAnalytical teams, consulting firms, manufacturing, logisticsBusiness, finance, marketing, technology sectors
Employer & Industry UsageSupply chain, transportation, manufacturing, governmentRetail, finance, healthcare, tech companies
Common Search & ComparisonOperations Research vs Data Analyst

Operations Research and Data Analysts both analyze data to improve decision-making, but Operations Research focuses on complex optimization and modeling for large systems, while Data Analysts interpret data trends for business insights. Their roles often overlap but serve different strategic purposes in organizations.

Does operations research pay well?

Operations research analysts typically earn competitive salaries, with median pay above the national average for all occupations. Salaries vary based on experience, education, industry, and location, and professionals often use analytical tools and quantitative skills to solve complex problems. Advanced degrees and certifications can lead to higher compensation.

What can I do with an operations research degree?

An operations research degree prepares individuals for roles such as operations analyst, supply chain manager, or data analyst, focusing on optimizing processes and decision-making using mathematical modeling and analytical tools. Graduates often work in industries like manufacturing, logistics, finance, and consulting, utilizing skills in statistics, programming, and problem-solving to improve efficiency and reduce costs.

What does an operations researcher do?

An operations researcher analyzes complex systems and processes to improve efficiency and decision-making using mathematical models, statistics, and optimization techniques. They often work with data analysis tools and develop algorithms to solve problems in logistics, supply chain, manufacturing, and other operational areas.
More about Operations Research jobs

What are the most commonly searched types of Operations Research jobs in Minnesota?

The most popular types of Operations Research jobs in Minnesota are:

What are popular job titles related to Operations Research jobs in Minnesota?

For Operations Research jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Operations Research jobs in Minnesota look for?

The top searched job categories for Operations Research jobs in Minnesota are:

What cities in Minnesota are hiring for Operations Research jobs?

Cities in Minnesota with the most Operations Research job openings:

Operations Research jobs near you
Infographic showing various Operations Research job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $91,873 per year, or $44.2 per hour.

Director, Operations Research - Last Mile Demand Forecasting and Capacity Management

Minneapolis, MN • On-site

Jobtailor
See more jobs at Jobtailorexternal

$180 - $240/hr

Other

Posted 22 days ago

Job description

Responsibilities
  • Develop optimization models and algorithms for last mile delivery operations
  • Oversee the creation and development of demand forecasting and capacity management
  • Design, develop, deploy and maintain machine learning algorithms
  • Collaborate with product and business partners to define product roadmaps
  • Create an atmosphere of teamwork and collaboration communicating project information
  • Manage resource allocation and communicate overall vision and goals for the team
  • Enhance demand forecasting and capacity management
  • Coordinate the analysis, troubleshooting and resolution of issues in software
Requirements
  • PhD or MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics or relevant industry experience
  • 7 plus years of experience leading, developing and mentoring teams of applied data scientists and operations research scientists
  • 5 plus years of experience in building optimization models and algorithms at scale
  • Highly proficient in Python, Scala or Java programming
  • Deep understanding of data structures, design principals and algorithms
  • Ability to test and measure algorithms and models
  • Significant demonstrated expertise in optimization theory (deterministic/stochastic), dynamic programming, linear algebra, probability and statistics
  • Experience in statistical inference, machine learning and deploying machine learning models with large-scale business impact in commercial setting
  • Experience working with large event-driven distributed systems and multi-threaded applications
  • Excellent written and verbal communication skills
  • Constant learner mentality that stays on the leading edge of supply chain optimization, network planning, operations research, AI, ML, etc.
Certifications & Qualifications
  • PhD
  • MS
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