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Operations Research Engineer Jobs (NOW HIRING)

Operations Research Engineer

Atlanta, GA · On-site

$66K - $90K/yr

We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization ...

Operations Research Engineer

Atlanta, GA · On-site

$66K - $90K/yr

We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization ...

This position will contribute towards the Operations Research Core of the Center for Surgical ... The Research Engineer will report to Dr. Michal Mankowski while working closely with other staff ...

This position will contribute towards the Operations Research Core of the Center for Surgical ... The Research Engineer will report to Dr. Michal Mankowski while working closely with other staff ...

This role is distinguished from Operations Research Engineers (who focus on internal tooling) by emphasis on advancing research methods for platform and commercial applications. You will work on Core ...

Reactor Operations and Training: Receive comprehensive training to obtain licensure as a Senior ... For the Research Engineer position relevant Ph.D degree in Nuclear Engineering. Greater than or ...

Citizenship Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Systems Engineering, Physics, Industrial Engineering, or a closely related discipline Minimum 15 years of ...

Operations Research Analyst

El Segundo, CA · On-site

$104K - $124K/yr

S. Citizenship • Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Systems Engineering, Physics, Industrial Engineering, or a closely related discipline • Minimum 15 ...

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Operations Research Engineer information

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How much do operations research engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for operations research engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What does an Operations Research Engineer do?

An Operations Research Engineer applies mathematical modeling, statistical analysis, and optimization techniques to solve complex business and engineering problems. They use data-driven decision-making to improve efficiency, reduce costs, and enhance system performance in industries such as logistics, manufacturing, finance, and transportation. By leveraging algorithms, simulations, and predictive analytics, they help organizations make informed decisions. Their work often involves programming, data analysis, and collaboration with cross-functional teams to implement practical solutions.

What are the key skills and qualifications needed to thrive in the Operations Research Engineer position, and why are they important?

To excel as an Operations Research Engineer, you need a solid grounding in mathematics, statistics, optimization, and analytical problem-solving, typically supported by a relevant engineering or quantitative degree. Proficiency with tools such as MATLAB, Python, R, CPLEX, or simulation software, as well as familiarity with data analysis platforms, is commonly required. Strong communication, teamwork, and adaptability are vital soft skills for presenting findings and collaborating across multidisciplinary teams. Mastery of these abilities is crucial to developing effective solutions that improve operational efficiency in complex business environments.

What does a typical day look like for an Operations Research Engineer?

A typical day for an Operations Research Engineer involves identifying operational challenges, gathering and analyzing data, developing mathematical models, and simulating scenarios to propose improvements. You will often collaborate closely with cross-functional teams—including data scientists, engineers, and business managers—to understand requirements and implement optimal solutions. Expect to spend time both independently conducting research and attending meetings to present your findings and receive feedback. The role provides a good balance of technical work, problem-solving, and teamwork, making each day dynamic and intellectually engaging.

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Operations Research Engineer

Operations Research Engineer

GAINSystems

Atlanta, GA • On-site

$66K - $90K/yr

Full-time

Posted 24 days ago


Job description

About GAINS
GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our Decision Engineering & Orchestration (DEO) platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster, and it's not a tagline, it's how we're redefining what's possible in supply chain decision-making.
Job Summary:
We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization techniques to design and implement solutions that enhance the efficiency and performance of our supply chain software products. You will work closely with cross-functional teams, including software developers, data scientists, and product managers, to deliver impactful solutions that drive value for our customers.
Key Responsibilities:
  • Model Development: Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain operations, including inventory management, demand forecasting, production planning, and logistics.
  • Optimization & Simulation: Design and implement optimization and simulation tools to solve complex supply chain problems, ensuring that solutions are scalable and efficient.
  • Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for improvement within supply chain processes. Use statistical and machine learning techniques to enhance model accuracy.
  • Software Integration: Collaborate with software developers to integrate models and algorithms into our supply chain software platform, ensuring seamless functionality and performance.
  • Customer Support: Work with the customer support team to troubleshoot and resolve any issues related to optimization models and algorithms used by our clients.
  • Continuous Improvement: Stay updated on the latest advancements in operations research, optimization, and supply chain management. Propose and implement improvements to existing models and processes.
  • Documentation: Prepare detailed technical documentation for models, algorithms, and software modules, ensuring that they are well-documented and easy to understand for internal and external stakeholders.
  • Project Management: Lead or participate in project teams, ensuring that deliverables are met on time and within scope.
Qualifications:
  • Education: Master's in Operations Research, Industrial Engineering, Applied Mathematics, or a related field.
  • Experience: 3+ years of experience in operations research, optimization, or a related role, preferably within the supply chain or logistics domain.
  • Technical Skills:
    • Proficiency in mathematical modeling and optimization techniques (e.g., linear programming, integer programming, stochastic modeling).
    • Strong programming skills in languages such as Python, C++, or Java.
    • Experience with optimization solvers (e.g., Gurobi, CPLEX) and simulation tools.
    • Familiarity with supply chain management principles and practices.
  • Analytical Skills: Strong problem-solving abilities with the capacity to analyze complex systems and datasets.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
  • Teamwork: Ability to work effectively in a collaborative, cross-functional team environment.
  • Adaptability: Willingness to learn and adapt to new challenges and technologies.
Preferred Qualifications:
  • Experience with machine learning techniques applied to supply chain problems.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies.
  • Experience in the software development lifecycle, including version control and agile methodologies.
We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply.