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Operations Research Jobs in California (NOW HIRING)

We are looking for a Research Operations Program Manager to build and scale the systems that enable UX Research to operate with speed, quality, compliance, and product impact. This role sits at the ...

We are looking for a Research Operations Program Manager to build and scale the systems that enable UX Research to operate with speed, quality, compliance, and product impact. This role sits at the ...

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Operations Research information

See California salary details

$38K

$92.6K

$149K

How much do operations research jobs pay per year?

As of Jun 28, 2026, the average yearly pay for operations research in California is $92,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $114,000.00 per year, depending on experience, location, and employer.

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 does an operational 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 may develop algorithms to solve logistical, scheduling, or resource allocation problems in various industries.

Will AI replace research analysts?

Operations research analysts use advanced analytical methods and tools, including AI and machine learning, to solve complex problems and optimize decision-making. While AI can automate routine tasks and enhance data analysis, human expertise remains essential for interpreting results, developing models, and making strategic recommendations. AI is more likely to augment rather than fully replace research analysts in the foreseeable future.

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. Certifications in project management or data analysis can enhance career prospects.

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 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.

What is the work of operations research?

Operations research involves applying analytical methods and mathematical models to help organizations make better decisions, optimize processes, and improve efficiency. Professionals in this field use tools like linear programming, simulation, and data analysis to solve complex problems across industries such as logistics, manufacturing, and healthcare.

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 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 are the most commonly searched types of Operations Research jobs in California? The most popular types of Operations Research jobs in California are:
What job categories do people searching Operations Research jobs in California look for? The top searched job categories for Operations Research jobs in California are:
What cities in California are hiring for Operations Research jobs? Cities in California with the most Operations Research job openings:
Infographic showing various Operations Research job openings in California as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $92,576 per year, or $44.5 per hour.
Operations Research Scientist

Operations Research Scientist

Hadrian Automation, Inc

Los Angeles, CA • On-site

$160K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Hadrian - Manufacturing the Future
Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
We're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
The Role
You will drive manufacturing excellence through advanced optimization at Hadrian. As our Operations Research Scientist, you'll tackle complex scheduling, capacity planning, and resource allocation challenges in aerospace manufacturing. Using cutting-edge solvers and potentially RL techniques, you'll build systems that optimize everything from production queues to tool utilization. This role combines rigorous mathematical modeling with real-world impact-your algorithms will directly improve delivery times, reduce costs, and scale our manufacturing capabilities.
What You'll Do
  • Design and implement production scheduling algorithms using CP-SAT and MIP solvers.
  • Build capacity planning models that balance demand with resource constraints.
  • Develop queue management systems to optimize throughput and reduce wait times.
  • Create demand forecasting models using modern time series techniques.
  • Optimize inventory levels across raw materials and work-in-progress.
  • Design tool allocation algorithms considering utilization and maintenance.
  • Implement robust optimization for uncertain demand and processing times.
  • Explore RL approaches for dynamic scheduling and queue management.
  • Build simulation models to validate optimization strategies.
  • Develop APIs and tools for real-time decision support.
  • Create dashboards to visualize optimization results and KPIs.
  • Collaborate with engineers to understand constraints and objectives.
  • Design experiments to validate model improvements.
  • Document algorithms and train operations teams.
  • Stay current with OR research and manufacturing best practices.

What We're Looking For
  • Expert knowledge of optimization solvers (OR-Tools, Gurobi, CPLEX).
  • Strong background in mathematical optimization (LP, MIP, CP).
  • Experience with production scheduling and capacity planning.
  • Proficiency in Python and optimization libraries.
  • Understanding of manufacturing processes and constraints.
  • Experience with forecasting and demand planning.
  • Knowledge of queueing theory and simulation.
  • Ability to translate business problems into mathematical models.
  • Strong statistical and analytical skills.
  • Experience deploying optimization models in production.
  • Excellent communication skills for technical and non-technical audiences.
  • Ability to work with messy, real-world data.
  • Understanding of computational complexity and algorithm design.
  • Experience with A/B testing and experimental design.

Compensation
For this role, the target salary range is $160,000 - $240,000 (actual range may vary based on experience).
This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Benefits for Full-time Employees
  • Medical, dental, vision, and life insurance plans for employees
  • 401k
  • Relocation support may be provided for certain situations, based on business need.
  • Flexible vacation policy
  • Equity

ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Hadrian Is An Equal Opportunity Employer
It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.