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Operations Research Optimization Jobs in California

Operations Research Engineer

Folsom, CA · On-site

$149K - $211K/yr

Operations Research Engineers design, develop, and apply advanced engineering and mathematical models, including simulation and optimization frameworks, to drive innovative solutions for complex ...

Operations Research Analyst

Fremont, CA · On-site

$107K - $127K/yr

Operations Research Analyst Job Duties: Building the data for service operation: * Collect and ... Additionally, candidates should have experience in providing analysis reports aimed at optimizing ...

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Operations Research Optimization information

What is optimization in operations research?

In operations research, optimization involves finding the best possible solution to a problem by maximizing or minimizing an objective function while satisfying constraints. Operations research analysts use mathematical models, algorithms, and software tools to improve decision-making processes in areas like logistics, scheduling, and resource allocation.

What jobs can you get with operations research?

Operations research skills can lead to roles such as operations analyst, supply chain analyst, logistics manager, data analyst, and management consultant. These positions typically require strong analytical, mathematical, and problem-solving skills, often using tools like optimization software and statistical analysis. Many roles are found in industries like manufacturing, transportation, finance, and consulting firms.

What is the highest paid research job?

In operations research, senior roles such as Director of Operations Research or Chief Optimization Officer tend to have the highest salaries, often exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and expertise in optimization techniques, data analysis, and decision-making tools.

Do OPS analysts need a degree?

Operations Research analysts typically need at least a bachelor's degree in fields such as operations research, mathematics, engineering, or related areas. Advanced positions may require a master's degree or higher, along with skills in data analysis, optimization tools, and programming languages like Python or R.

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

AspectOperations Research OptimizationData Analyst
Required CredentialsDegree in Operations Research, Industrial Engineering, or related fields; often certifications in optimization toolsDegree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentAnalytical teams in manufacturing, logistics, or consulting firmsBusiness or corporate settings, focusing on data interpretation and reporting
Industry UsageSupply chain, transportation, manufacturing, logisticsFinance, marketing, healthcare, retail
Common Search/ComparisonOperations Research Optimization vs Data Analyst

Operations Research Optimization focuses on developing mathematical models to improve decision-making processes, often in logistics and manufacturing. Data Analysts interpret and visualize data to support business decisions. While both roles analyze data, Operations Research Optimization emphasizes optimization techniques and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Operations Research Optimization jobs in California? For Operations Research Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Operations Research Optimization jobs in California look for? The top searched job categories for Operations Research Optimization jobs in California are:
What cities in California are hiring for Operations Research Optimization jobs? Cities in California with the most Operations Research Optimization job openings:
Operations Research Engineer

Operations Research Engineer

Intel

Folsom, CA • On-site

$149K - $211K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

8th of 139 rated electronics manufacturers


Job description

Job Details:Job Description: Operations Research Engineers design, develop, and apply advanced engineering and mathematical models, including simulation and optimization frameworks, to drive innovative solutions for complex Intel manufacturing and supply chain challenges. They identify and solve highly complex problems across factory performance, production loading, equipment optimization, decision science, and supply and distribution network operations, requiring deep understanding of fabrication (Fab) and assembly/test (A/T) environments combined with comprehensive supply chain expertise. These professionals build, develop, validate, and deploy mathematically-based decision algorithms, heuristics, optimization models, and simulation tools while working collaboratively with business units to identify root causes, define strategic and tactical requirements, and implement appropriate business and technical solutions. They leverage formal technical training, extensive business knowledge, and sound engineering judgment to develop comprehensive solutions that address complex operational challenges and drive measurable improvements in manufacturing efficiency and supply chain performance.Qualifications:

Minimum Qualifications:
Master's degree in Operations Research, Industrial Engineering, Systems Engineering, Management Science, or related technical discipline.
Expertise Areas:

2+ years of experience in/with:
Programming proficiency in C# and experience working with commercial optimization and constraint programming job shop scheduling packages such as ILOG CPLEX, Gurobi, Autosched, and similar platforms.

Database management systems experience including SQL Server and related technologies.

Foundation in Operations Research (OR) methodologies, Linear Programming, Integer Programming, and Constraint Programming techniques.
Preferred Qualifications:
2+ years of hands-on experience in semiconductor manufacturing processes and production scheduling.

Advanced expertise in Discrete Event Simulation, Simulated Annealing, Meta-Heuristics, Evolutionary Algorithms, and related optimization techniques.

Qualifying experience may be obtained through a comprehensive combination of graduate-level research projects, relevant industry experience, and specialized internships in manufacturing or operations research environments.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:US, California, Folsom, US, Oregon, HillsboroBusiness group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $149,600.00-211,200.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968