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Operations Research Phd Jobs (NOW HIRING)

CACI

Operations Research System Analyst (ORSA)

Tampa, FL · On-site

$93K - $110K/yr

PhD in relevant field of study and expertise Demonstrated expertise applying operations research, systems and data analysis to military evaluations and assessments for OIE, IW, and Sensitive ...

Bering-Alaka`ina Holdings, LLC

$91K - $107K/yr

Bering-Alaka`ina Holdings, LLC has a potential need for an Operations Research Technical Reviewer ... A PhD is preferred. REQUIRED SKILLS AND EXPERIENCE: * Must be current in Health Information ...

International Executive Service Corps

$72K - $85K/yr

Bering-Alaka`ina Holdings, LLC has a potential need for an Operations Research Technical Reviewer ... A PhD is preferred. REQUIRED SKILLS AND EXPERIENCE: * Must be current in Health Information ...

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How much do operations research phd jobs pay per year?

As of Sep 15, 2026, the average yearly pay for operations research phd in the United States is $93,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $115,500.00 per year, depending on experience, location, and employer.

What is an operations research PhD?

Operations Research PhDs are experts who have completed a doctoral program focused on advanced analytical methods to help make better decisions and solve complex problems. Their studies involve mathematics, statistics, computer science, and engineering principles to develop models and algorithms used in industries such as logistics, finance, healthcare, and manufacturing. With a PhD, they often pursue careers in academia, industry research, or consulting, applying their expertise to optimize systems and processes.

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

To thrive as an Operations Research PhD, you need advanced analytical skills, a strong foundation in mathematics and statistics, and a doctoral degree in operations research or a related quantitative field. Expertise with optimization software (like CPLEX or Gurobi), programming languages (such as Python, R, or MATLAB), and familiarity with data analysis tools are typically required. Strong problem-solving abilities, effective communication, and the ability to work collaboratively distinguish top performers in this role. These skills enable professionals to develop data-driven solutions to complex business problems and communicate insights to stakeholders, driving organizational efficiency and innovation.

What are some common challenges faced by operations research PhDs when transitioning from academia to industry roles?

One common challenge for Operations Research PhDs moving into industry is adapting to the faster-paced environment where solutions often need to be practical and implemented quickly, rather than purely theoretically optimal. Additionally, communicating complex analytical methods to non-technical stakeholders and working within cross-functional teams requires strong collaboration and interpersonal skills. Industry roles may also demand proficiency with industry-specific tools and the ability to manage multiple projects with shifting priorities. Embracing these challenges can accelerate professional growth and lead to rewarding career advancement.
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Infographic showing various Operations Research Phd job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $93,804 per year, or $45.1 per hour.

Operations Research Scientist

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

Full-time

Posted 7 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be astonishingly effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry.
We are now looking for an Operations Research Scientist to join our information technology operations planning team. As a part of this team you will responsible for developing advanced analytics and optimization models for strategic and tactical decision-making associated with supply-chain planning, as well as data analysis support.
What you'll be doing:
  • Design and deliver robust implementable solutions for complex supply chain planning requirements using modeling approaches
  • Lead small projects to implement new and improve existing functionalities including articulating requirements and translating them into effective solutions.
  • Invent prototypes or proof of concepts as part of some research on optimization-based or simulation-based systems.
  • Apply optimization, simulation, statistical and data analytic techniques to develop strategic decision management tools. You will research and craft network/business models.
  • Perform quantitative analysis. u will build business and product scenarios to help the business unit improve our profitability and market share.

What we need to see:
  • Master's or PhD in Operations Research, Industrial Engineering or related disciplines or equivalent experience
  • 12+ years of professional working experience, including 3+ plus years of experience with deterministic optimization methodology, including mixed integer programming, network flows, dynamic programming and approximation heuristics.
  • Strong hands-on experience with optimization solvers like Matlab, CPLEX, Gurobi, ExpressMP, SAS (OptModel) for solving Supply Chain problems
  • Advanced Excel skills as well as knowledge of VBA and SQL
  • Consistent track record of using analysis to deliver business results.
  • Self-starter who can take charge of complex tasks with minimal direction.
  • Ability to work independently and multi-functionally with other staff members.
  • Statistical analysis, machine learning and data-modeling in a database environment a plus

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 12, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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