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Operations Research Scientist Jobs in California

PhD in Computer Science, Operations Research, Statistics, or highly quantitative field with strength in Deep Learning, Machine Learning, Data Analytics, Statistical or other mathematical analysis

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Implemented custom operations/modules in a deep learning framework * Imagination, ambition, and ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Implemented custom operations/modules in a deep learning framework * Imagination, ambition, and ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Implemented custom operations/modules in a deep learning framework * Imagination, ambition, and ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Implemented custom operations/modules in a deep learning framework * Imagination, ambition, and ...

Showing results 41-60

Operations Research Scientist information

See California salary details

$49.8K

$128.4K

$171.7K

How much do operations research scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for operations research scientist in California is $128,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $170,700.00 per year, depending on experience, location, and employer.

What is an operations research scientist?

An Operations Research Scientist uses mathematical modeling, statistical analysis, and optimization techniques to solve complex business problems and improve decision-making. They work with large datasets, develop algorithms, and apply machine learning or simulation methods to enhance efficiency in various industries, including logistics, finance, and manufacturing. Their role involves collaborating with stakeholders to define problems, analyze data, and recommend solutions that maximize performance, reduce costs, or improve processes.

What projects or problems does an operations research scientist work on?

Operations Research Scientists often tackle projects aimed at improving efficiency, reducing costs, or optimizing organizational processes, such as supply chain logistics, resource allocation, production scheduling, or transportation networks. You might be tasked with developing mathematical models, simulating operations, or conducting data-driven analyses to recommend solutions for complex real-world problems. These roles frequently involve close collaboration with business stakeholders, engineers, and data teams to ensure solutions align with organizational goals. Working in this position provides opportunities to see your analytical work directly impact business outcomes and can lead to advancement into senior analytical, strategic, or leadership roles over time.

What skills and qualifications are needed to thrive as an operations research scientist?

Succeeding as an Operations Research Scientist requires strong analytical, mathematical, and problem-solving abilities, usually supported by an advanced degree in operations research, mathematics, statistics, or a related field. Expertise with optimization software, programming languages (such as Python, R, or MATLAB), and data analysis tools is often essential, and certifications in analytics or data science can be advantageous. Excellent communication, critical thinking, and collaboration skills help translate complex findings into actionable recommendations for diverse teams. These competencies enable professionals to effectively tackle intricate business challenges and drive evidence-based decision-making.

What cities in California are hiring for Operations Research Scientist jobs?

Cities in California with the most Operations Research Scientist job openings:

Infographic showing various Operations Research Scientist job openings in California as of August 2026, with employment types broken down into 75% Full Time, 10% Part Time, and 15% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $128,413 per year, or $61.7 per hour.

Senior Applied Scientist - Operations Research & Systems Analysis (ORSA)

Prodapt

Brentwood, CA โ€ข On-site

$108K - $138K/yr

Full-time

Re-posted yesterday


Job description

Overview
Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A "Great Place To Workยฎ Certifiedโ„ข" company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.
We are seeking an experienced Senior Applied Scientist (ORSA) with deep expertise in optimization, mathematical modeling, and retail supply chain operations to drive large-scale inventory allocation and replenishment strategies.
Responsibilities
  • Lead the optimization architecture: problem formulation, solver selection, constraint modeling
  • Own the mathematical framework generating optimized allocation plans incorporating business constraints
  • Architect multi-objective optimization balancing in-stock rates, inventory turns, and operational costs
  • Guide the optimization team on problem decomposition and solution approach per region
  • Interface with customer supply chain planning teams on constraint definition and business rule translation

Requirements
  • Operations Research (MS or PhD preferred), strong optimization foundation
  • Bachelor's degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
  • Hands-on 7+ years of experience as Applied Scientist with expertise in Operations Research & Systems Analysis.
  • Solver experience: Gurobi, CPLEX, or equivalent
  • Translating business constraints into mathematical formulations
  • Python, advanced numerical computing
  • Experience leading or mentoring applied scientists
  • Retail supply chain or inventory optimization domain knowledge

Preferred:
  • Store allocation / replenishment system experience
  • Familiarity with agentic AI frameworks
  • AWS data/ML stack (SageMaker, Step Functions, Lambda)