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Operations Research Analyst Jobs in Rochester, MI

Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods, etc.); * Expertise in Python and other cloud-based ...

Data Scientist

Warren, MI · On-site

$120 - $190/hr

Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods, etc.); * Expertise in Python and other cloud-based ...

Responsible for supporting the oversight of the systems, processes, and analytics that enable revenue growth and operational efficiency within the Consumer Direct lending channel. This role will ...

Responsible for supporting the oversight of the systems, processes, and analytics that enable revenue growth and operational efficiency within the Consumer Direct lending channel. This role will ...

Job Purpose The Financial Analyst - Operations is responsible to the Sr. Manager - Operational Finance for supporting financial analysis, reporting, forecasting, budgeting, and operational ...

The Quality Engineering Center is seeking a highly analytical and detail-oriented Operations Budget Analyst to join our Quality Organization. In this role, you will partner directly with operations ...

The Quality Engineering Center is seeking a highly analytical and detail-oriented Operations Budget Analyst to join our Quality Organization. In this role, you will partner directly with operations ...

Showing results 41-60

Operations Research Analyst information

See Rochester, MI salary details

$40K

$94.3K

$125.2K

How much do operations research analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for operations research analyst in Rochester, MI is $94,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $107,200.00 per year, depending on experience, location, and employer.

What is an operations research analyst?

An operations research analyst works with a company to analyze relevant data to improve business operations. Their primary duties involve setting goals, identifying potential problems, gathering pertinent information, and then using a variety of analytical methods to come up with solutions. The job requires strong analytical skills as well as the ability to think critically. Additional qualifications include a minimum of a bachelor’s degree in operations research or management science, although many employers prefer a master’s degree. Those interested in a career as an operations research analyst must have research experience in an office setting.

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

To thrive as an Operations Research Analyst, you need strong analytical, mathematical, and problem-solving skills, typically supported by a degree in operations research, mathematics, engineering, or a related field. Proficiency with statistical analysis software, optimization tools like CPLEX or Gurobi, and programming languages such as Python or R is commonly required. Effective communication, critical thinking, and collaboration skills help translate complex data into actionable recommendations for stakeholders. These abilities are crucial for delivering data-driven solutions that improve organizational efficiency and decision-making.

What are some common challenges operations research analysts face when translating analytical findings into actionable business strategies?

Operations Research Analysts often encounter challenges in communicating complex quantitative findings to stakeholders who may not have technical backgrounds. Bridging the gap between advanced mathematical models and practical business decisions requires strong communication skills and a deep understanding of the organization's objectives. Additionally, analysts may face resistance to change when proposing new, data-driven strategies, so being able to justify recommendations with clear, accessible insights is crucial. Collaborating closely with cross-functional teams helps ensure solutions are both technically sound and aligned with operational realities.

What is the difference between Operations Research Analyst vs Data Analyst?

AspectOperations Research AnalystData Analyst
Required CredentialsBachelor's degree in operations research, mathematics, or related field; often certifications in analytics or optimizationBachelor's degree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentCorporate, government, or consulting firms focusing on optimization and decision-makingBusiness, marketing, finance, or healthcare sectors analyzing data trends
Employer & Industry UsageOrganizations seeking to improve operational efficiency and decision processesCompanies aiming to interpret data for strategic insights and reporting

Operations Research Analysts focus on optimizing complex systems and decision-making processes using mathematical models, while Data Analysts interpret data to identify trends and support business decisions. Both roles require analytical skills and often similar educational backgrounds, but their core functions differ in scope and application.

How much do operations research analysts make?

Operations research analysts in New York City typically earn a median annual salary of around $85,000 to $100,000, depending on experience and industry. Salaries can vary based on factors such as education, certifications, and the complexity of projects handled. The role often requires strong analytical skills and proficiency with tools like optimization software and statistical analysis programs.

What job categories do people searching Operations Research Analyst jobs in Rochester, MI look for?

The top searched job categories for Operations Research Analyst jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Operations Research Analyst jobs?

Cities near Rochester, MI with the most Operations Research Analyst job openings:

Infographic showing various Operations Research Analyst job openings in Rochester, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $94,311 per year, or $45.3 per hour.

Full-time

Posted 11 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

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Based on 308 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,329 frontline employees who took The Breakroom Quiz


Job description

Job Description
The Role
As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of one or more workstreams within an AI, machine learning, or data science product. You will build deep technical expertise under the guidance of the product's lead scientist while actively contributing to product decisions, methodological direction, and the development of high-impact solutions.
What You Will Do
  • Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery.
  • Contribute to product decisions and help shape the ideation, design, and development of analytical methods and solutions.
  • Develop high-quality code that is methodologically sound, maintainable, scalable, and operationally robust.
  • Explore and apply new methods, technologies, and approaches to expand the product's technical capabilities.
  • Deliver results on time while managing risks and maintaining methodological and operational quality.
  • Partner cross-functionally with data engineering, software delivery, product delivery teams, business units, and other stakeholders to drive product development and business outcomes.
  • Translate complex technical concepts, tradeoffs, assumptions, and risks into clear insights and recommendations for stakeholders and leaders.
  • Present workstream progress, findings, and business impact to technical and business audiences.

Your Skills and Abilities (Required Qualifications)
  • 3+ years working in the field of advanced analytics, AI/ML and/or operations research initiatives, developing and integrating analytical methods into software products;
  • Demonstrated use of innovative methodologies and approaches to solving business problems, resulting in meaningful business impact;
  • Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods, etc.);
  • Expertise in Python and other cloud-based data science platforms (Databricks preferred), and proficiency in SQL;
  • Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot, Glean, Databricks Genie, etc.
  • Strong presentation and communication skills; and
  • M.S. or Ph.D. in operations research, engineering, computer science, applied statistics, economics, physics, or related field. Equivalent additional experience may substitute for advanced degree.

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Experience contributing to AI, machine learning, or data science products from concept through production delivery.
  • Experience influencing product decisions and shaping methodological direction.
  • Breadth across modern data science methods, tools, and technologies, with a demonstrated interest in continuous technical growth.
  • Experience building solutions that are reliable, maintainable, scalable, and operationally ready.
  • Experience working across multidisciplinary teams, including data engineering, software engineering, product delivery, and business stakeholders.
  • Demonstrated ability to connect technical work to measurable business impact. Publications, conference talks, patents or other generated intellectual property, committed open-source work, or other external technical recognition preferred.
  • Experience presenting complex analytical results and technical tradeoffs to senior leaders and diverse audiences.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908