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Operations Research Jobs in Santa Rosa, CA (NOW HIRING)

Aquent

Operations Analyst (212649)

Santa Rosa, CA · On-site

Bachelor's or Master's degree in Data Science, Statistics, Operations Research, Economics, Engineering, or a related analytical field. * Experience: 3-5 years of experience in data analysis ...

Aquent

Operations Analyst (212649)

Sonoma, CA · On-site

Bachelor's or Master's degree in Data Science, Statistics, Operations Research, Economics, Engineering, or a related analytical field. * Experience: 3-5 years of experience in data analysis ...

Truex Métier

Chief of Staff

Santa Rosa, CA · On-site

This is a unique opportunity for someone who enjoys working at the intersection of executive support, operations, research, and external engagement. The role offers significant exposure to ...

Truex Métier

Chief of Staff

Sonoma, CA · On-site

This is a unique opportunity for someone who enjoys working at the intersection of executive support, operations, research, and external engagement. The role offers significant exposure to ...

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All JobsOperations Research JobsOperations Research Jobs in Santa Rosa, CA

Operations Research information

See Santa Rosa, CA salary details

$42.1K

$102.6K

$165.1K

How much do operations research jobs pay per year?

As of Sep 10, 2026, the average yearly pay for operations research in Santa Rosa, CA is $102,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $126,300.00 per year, depending on experience, location, and employer.

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.
More about Operations Research jobs

What are popular job titles related to Operations Research jobs in Santa Rosa, CA?

For Operations Research jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching Operations Research jobs in Santa Rosa, CA look for?

The top searched job categories for Operations Research jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Operations Research jobs?

Cities near Santa Rosa, CA with the most Operations Research job openings:

Operations Research jobs near you
Infographic showing various Operations Research job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $102,559 per year, or $49.3 per hour.

Principal Optimization Architect -- Gurobi & Decision Intelligence

Sonoma, CA • On-site

Bristlecone
See more jobs at Bristleconeexternal

Other

Re-posted 5 days ago

Key responsibilities

  • Design, formulate, and implement advanced mathematical optimization models tailored to solve complex, large-scale enterprise constraints.

  • Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer to improve solve times and compute efficiency.

  • Collaborate with engineering teams to embed core optimization engines into enterprise software architectures and construct scalable APIs and data pipelines.

Job description

About Company::


Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many other


About the Role


We are seeking an industry-leading, visionary Principal Operations Research Consultant / Optimization Architect to spearhead the design, development, and deployment of enterprise-scale decision intelligence and optimization systems. In this high-impact role, you will bridge the gap between complex algorithmic theory and real-world production execution.


You will act as the technical authority on mathematical modeling, leveraging deep expertise in Gurobi Optimizer to translate multi-faceted business bottlenecks into highly scalable, automated frameworks. This role is a unique blend of strategic solution architecture, elite hands-on mathematical programming, and technical team mentorship.


Location: - This is US based role, should be open to travel on needed basis


🎯 Key Responsibilities


  • Optimization Solution Development: Design, formulate, and implement advanced mathematical optimization models (Linear Programming, Mixed-Integer Programming, Non-Linear Programming) tailored to solve complex, large-scale enterprise constraints.
  • Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer (mandatory) to drive down solve times and maximize compute efficiency. Develop pristine, maintainable code primarily in Python.
  • Operations Research Leadership: Systematically apply deep OR methodologies to automate business processes, including Network Design, Fleet Routing, Logistics, Scheduling, Stochastic Optimization, and custom Heuristics/Metaheuristics.
  • Team Leadership & Mentorship: Direct, manage, and scale a high-performing team of data analysts and Operations Research specialists. Conduct rigorous code reviews and establish structural modeling standards.
  • Production Deployment & Automation: Collaborate with engineering teams to embed core optimization engines into enterprise software architectures. Construct scalable APIs, microservices, and continuous data pipelines for automated model execution.


Required Qualifications

  • Experience: 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
  • Mandatory Technical Depth: Undeniable, extensive hands-on history delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
  • Programming Skills: Expert proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
  • Education: Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
  • Leadership Track Record: Proven background in managing or mentoring technical teams and conducting advanced math code reviews.


📩 If this sounds like the right fit for you or someone you know, feel free to reach out or drop your resume in the comments or messages!

Apply