ZipRecruiter

Log In

1

Operations Research Engineer Jobs in California (NOW HIRING)

TaylorMade Golf

Fitting Research Engineer

Carlsbad, CA

$90K - $103K/yr

  • Medical

  • PTO

Collaborate cross-functionally with R&D, product engineering, tour operations, and marketing to translate research findings into real-world product and fitting decisions * Communicate findings ...

TaylorMade Golf Co.

Fitting Research Engineer

Carlsbad, CA · On-site

$90K - $103K/yr

  • Medical

  • PTO

Collaborate cross-functionally with R&D, product engineering, tour operations, and marketing to translate research findings into real-world product and fitting decisions * Communicate findings ...

Hadrian Automation

Operations Research Scientist

Los Angeles, CA · On-site

$160K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As our Operations Research Scientist, you'll tackle complex scheduling, capacity planning, and ... Collaborate with engineers to understand constraints and objectives. * Design experiments to ...

Thales

Biometrics and AI Research Engineer

Pasadena, CA

$223K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... fairness, security, and operational performance. * Research, evaluate, and implement ... Software Engineering * Develop high-quality, secure, production-oriented software prototypes and ...

Thales

Biometrics and AI Research Engineer

Pasadena, CA · On-site

$215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... fairness, security, and operational performance. * Research, evaluate, and implement ... Software Engineering * Develop high-quality, secure, production-oriented software prototypes and ...

Pop-Up Talent

Senior Research Engineer

Santa Clara, CA · On-site

$200K/yr

  • Medical

  • PTO

Senior Research Engineer Santa Clara, CA (On-site) THE POSITION: * This is an opportunity to work ... Prototype, evaluate, and refine algorithms using large-scale operational datasets * Design ...

Etched

Machine Learning Research Engineer

Cupertino, CA · On-site

$252K/yr

The Machine Learning Research Engineer will propose and conduct novel research to achieve results on Sohu, translating core mathematical operations into performant instruction sequences and ...

previous page

Showing results 41-60

All JobsOperations Research Engineer JobsOperations Research Engineer Jobs in California

Operations Research Engineer information

See California salary details

$35.5K

$83.9K

$133.2K

How much do operations research engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for operations research engineer in California is $83,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $92,800.00 per year, depending on experience, location, and employer.

What does an operations research engineer do?

An Operations Research Engineer applies mathematical modeling, statistical analysis, and optimization techniques to solve complex business and engineering problems. They use data-driven decision-making to improve efficiency, reduce costs, and enhance system performance in industries such as logistics, manufacturing, finance, and transportation. By leveraging algorithms, simulations, and predictive analytics, they help organizations make informed decisions. Their work often involves programming, data analysis, and collaboration with cross-functional teams to implement practical solutions.

What are the key skills and qualifications needed to thrive as an operations research engineer?

To excel as an Operations Research Engineer, you need a solid grounding in mathematics, statistics, optimization, and analytical problem-solving, typically supported by a relevant engineering or quantitative degree. Proficiency with tools such as MATLAB, Python, R, CPLEX, or simulation software, as well as familiarity with data analysis platforms, is commonly required. Strong communication, teamwork, and adaptability are vital soft skills for presenting findings and collaborating across multidisciplinary teams. Mastery of these abilities is crucial to developing effective solutions that improve operational efficiency in complex business environments.

What does a typical day look like for an operations research engineer?

A typical day for an Operations Research Engineer involves identifying operational challenges, gathering and analyzing data, developing mathematical models, and simulating scenarios to propose improvements. You will often collaborate closely with cross-functional teams—including data scientists, engineers, and business managers—to understand requirements and implement optimal solutions. Expect to spend time both independently conducting research and attending meetings to present your findings and receive feedback. The role provides a good balance of technical work, problem-solving, and teamwork, making each day dynamic and intellectually engaging.

What are the most commonly searched types of Operations Research Engineer jobs in California?

The most popular types of Operations Research Engineer jobs in California are:

What are popular job titles related to Operations Research Engineer jobs in California?

For Operations Research Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Operations Research Engineer jobs in California look for?

The top searched job categories for Operations Research Engineer jobs in California are:

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

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

Operations Research Engineer jobs near you
Infographic showing various Operations Research Engineer job openings in California as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $83,915 per year, or $40.3 per hour.

Fitting Research Engineer

TaylorMade Golf Company

Carlsbad, CA • On-site

Full-time

Re-posted 28 days ago

TaylorMade Golf rating

6.3

Company rating: 6.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
TaylorMade Golf Company is committed to advancing the intersection of performance science and personalization in golf fitting. The Fitting Research Engineer will develop and validate analytical systems to help golfers find their optimal equipment, collaborating with various teams to implement data-driven solutions and communicate findings effectively.
Responsibilities:
• Build and own data pipelines that capture, clean, and structure large volumes of equipment and player performance data—including, but not limited to launch monitor outputs, biomechanical measurements, and physical club and ball properties
• Design and deploy machine learning models and recommendation systems that match players to equipment configurations optimized for their swing characteristics and performance goals
• Lead experimental studies that test hypotheses about equipment performance and player outcomes, applying rigorous statistical methods to generate reliable, actionable insights
• Develop internal tools, APIs, and mobile or web-facing applications that bring fitting intelligence to fitters, retail partners, and golfers directly
• Collaborate cross-functionally with R&D, product engineering, tour operations, and marketing to translate research findings into real-world product and fitting decisions
• Communicate findings clearly and compellingly to both technical and non-technical audiences through written reports, presentations, and interactive dashboards
• Stay current on advances in data science, machine learning, and sports analytics; identify and champion new approaches that improve fitting accuracy and efficiency
• Performs other related duties and assignments as required.
Qualifications:
Required:
• Strong foundation in statistical modeling, analytical experiment design, and hypothesis testing—comfortable moving from raw data to validated insight
• Practical knowledge and experience in physical experiment design and data collection
• Hands-on experience with machine learning frameworks and recommendation system architectures
• Proficiency in programming (i.e. Python, MATLAB) required; version control, and databases a plus
• B.S., M.S., or Ph.D. in Data Science, Computer Science, Statistics, Systems Engineering, or a related quantitative field
• B.S. with 3 - 5 years of relevant industry experience; M.S. with 1 - 2 years; or relevant PHD
• Prior experience in an industry setting with exposure to modern software development and deployment practices
• Strong communicator who can translate complex analytical findings into clear, accessible language for diverse audiences
• Collaborative by nature—able to build trust and productive working relationships across research, development, engineering, information technology, and product creation teams
• Self-directed and intellectually curious: you ask good questions, pursue answers proactively, and bring solutions rather than just problems
• Organized and detail-oriented, with the ability to manage multiple workstreams in a fast-paced, competitive, and iterative environment
Preferred:
• Experience building and deploying software in production environments preferred
• Familiarity with or basic understanding of mechanical simulation / physics-based modeling
• Knowledge of golf—the game, the equipment, the fitting process, and even instruction—is strongly preferred and will meaningfully accelerate your impact in this role
• Experience with sports science, biomechanics, or consumer-facing recommendation systems is a meaningful differentiator
Company:
Headquartered in Carlsbad, California, TaylorMade Golf is a leading manufacturer of high-performance golf equipment, golf balls, accessories. Founded in 1979, the company is headquartered in Carlsbad, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What TaylorMade Golf employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply