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Operations Research Optimization Jobs in California

Intel

Operations Research Engineer

Folsom, CA

$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 ...

Phihong USA Corp

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 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.

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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 Optimization jobs near you

Principal Scientist - Operations Research & Simulation

Emerson United Inc- Strategic Search and Recruitment

San Francisco, CA

Full-time

Posted 3 days ago

New

Job description

Principal Scientist – Operations Research & Simulation

We are seeking a highly skilled and innovative Principal Scientist – Operations Research & Simulation to lead the development of advanced simulation platforms and optimization algorithms for complex, automated fulfillment environments. This role requires a deep understanding of operations research, optimization theory, and simulation modeling, with a strong focus on solving NP-hard scheduling and orchestration challenges.

Key Responsibilities
  • Lead the design and development of advanced simulation and emulation platforms that replicate complex fulfillment environments, including automation systems, human workflows, and orchestration layers.
  • Architect and implement robust optimization algorithms using operations research techniques such as linear programming, dynamic programming, heuristics, and stochastic models.
  • Develop and apply solutions for NP-hard problems related to scheduling, resource allocation, and orchestration using constraint-based and temporal planners, as well as commercial solvers (e.g., Gurobi, CPLEX).
  • Conduct in-depth analysis of large-scale performance data to identify inefficiencies, extract actionable insights, and recommend improvements in throughput, accuracy, and system stability.
  • Collaborate cross-functionally with software engineering, robotics, and operations teams to integrate simulation models and optimization algorithms into live production systems.
  • Design and validate digital twins that provide predictive capabilities and support scenario planning and what-if analysis for future deployments.
  • Leverage expertise in simulation frameworks and tools (e.g., AnyLogic, FlexSim, Simio, or custom-built environments in Python/C++) to build high-fidelity models for ongoing performance evaluation.
  • Develop and maintain analytics solutions, data pipelines, and optimization engines using strong programming skills in Python, R, and SQL.
  • Apply domain knowledge of automated warehouse operations, robotics orchestration, and human-machine interaction to ensure simulation fidelity and real-world applicability.
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