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Operations Research Jobs in Michigan (NOW HIRING)

Role Overview The Operations Research Scientist will design and implement optimization engines and digital twin models with integration of predictive machine learning (ML) components to enable ...

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Operations Research information

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.

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

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

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

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

Infographic showing various Operations Research job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Operations Research Analyst

Defense Logistics Agency

Battle Creek, MI • On-site

$92K - $109K/yr

Full-time

Posted 6 days ago


Defense Logistics Agency rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

276th of 855 rated public administrative organizations


Job description

Telework Eligible

Yes

Major Duties

  • Designs, develops, and adapts mathematical, statistical, econometric, and other scientific methods and techniques to analyze management problems of a highly significant nature.
  • Conducts operations research and economic analysis studies and recommends areas of further study. Studies performed involve Key Performance Indicators, supply chain processes, and Agency policies crossing multiple process areas.
  • Performs studies which directly support strategic management decisions and planning, including inventory investment strategy, business policy, and Activity Performance Plans.
  • Applies scientific techniques with emphasis on mathematical disciplines to improve operations of the supply chain and DLA logistical systems.
  • Prepares study plans which define complex study efforts by providing the background, description, approach, project milestones, resource requirements, and expected business improvements for each major study.
  • Performs quantitative, cost/economic analyses, and operations research studies using innovative application techniques like mathematical modeling, statistical analysis, linear/nonlinear programming, simulation, decision and probability theory.
  • Serves as an expert consultant and study leader for study groups in the general area of mathematical modeling, economic analysis, statistics, simulation, optimization programming, probability theory, or other quantitative methods.

Qualification Summary

To qualify for an Operations Research Analyst, your resume and supporting documentation must support: A. Basic Education Requirement: A Bachelor's Degree or higher in operations research OR at least 24 hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. NOTE: Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science. The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-after-competitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes: Mastery of research techniques to conduct and lead professional and highly technical work involved in the performance of operations research studies in support of related process area(s) and supply chains. Performing complex studies spanning all BSM processes, specifically Financial Management, Order Fulfillment, Planning, Procurement, and Technical/Quality. Conducting, organizing, leading, directing, and coordinating quantitative and qualitative studies and analyses which are highly technical in nature. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.


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