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Operations Research Manager Jobs in Spokane, WA (NOW HIRING)

ACCEL Schools

School Operations Manager

Spokane, WA

$65K - $75K/yr

The Operations Manager at Virtual Prep Academy of Washington supervises all school operations team ... We have been recognized and praised by legislators, authorizers, and researchers for providing ...

Cambia Health Solutions

Programmer Analyst I

Spokane, WA · Hybrid

$80K - $133K/yr

The Programmer Analyst I would have a Bachelor's degree in Mathematics, Operational Technology Management, Computer Science, Operations Research or an equivalent related field and 5+ years job ...

Wagstaff Inc

Electrical Engineer - R&D

Spokane Valley, WA · On-site

$80K - $115K/yr

Project management / Facilitate transition from R&D to Production * Project electrical lead ... operation and maintenance in conjunction with commissioning or in response to independent requests ...

Socket.dev

Electrical Engineer - R&D

Spokane Valley, WA · On-site

$80 - $115/hr

Project management / Facilitate transition from R&D to Production * Project electrical lead ... operation and maintenance in conjunction with commissioning or in response to independent requests ...

Wagstaff Inc

Electrical Engineer - R&D

Spokane Valley, WA · On-site

$80K - $115K/yr

Project management / Facilitate transition from R&D to Production * Project electrical lead ... Provide training to customer personnel in PLC based automation system operation and maintenance in ...

Wagstaff Inc

Electrical Engineer - R&D

Spokane Valley, WA · On-site

$80K - $115K/yr

Project management / Facilitate transition from R&D to Production * Project electrical lead ... operation and maintenance in conjunction with commissioning or in response to independent requests ...

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Operations Research Manager information

See Spokane, WA salary details

$38.9K

$94.8K

$152.7K

How much do operations research manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for operations research manager in Spokane, WA is $94,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $116,800.00 per year, depending on experience, location, and employer.

What is an operations research manager?

Operations Research Managers are professionals who oversee teams that use mathematical modeling, data analysis, and optimization techniques to help organizations solve complex problems and make better decisions. They often manage projects that improve efficiency, reduce costs, and enhance overall performance in various industries such as manufacturing, logistics, healthcare, and finance. These managers translate business challenges into analytical models and guide their teams in implementing solutions that support organizational goals.

How does an operations research manager typically collaborate with cross-functional teams within an organization?

Operations Research Managers frequently work closely with teams from departments such as IT, finance, logistics, and production to identify operational challenges and develop data-driven solutions. They lead or participate in project meetings, translate complex analytical findings into actionable recommendations, and ensure that proposed models align with business objectives. Effective communication and the ability to explain technical concepts clearly are essential, as these managers serve as a bridge between analytical experts and decision-makers. This collaborative environment fosters innovation and ensures the successful implementation of optimization strategies.

What are the key skills and qualifications needed to thrive as an operations research manager, and why are they important?

To thrive as an Operations Research Manager, you need advanced analytical skills, a solid grasp of mathematical modeling, and typically a master's or Ph.D. in operations research, mathematics, or a related field. Proficiency in optimization software, statistical analysis tools (such as MATLAB, R, or Python), and experience with data visualization systems is essential. Strong leadership, problem-solving, and communication skills set standout managers apart by enabling them to lead teams and explain complex findings to stakeholders. These capabilities are crucial for making data-driven decisions that optimize organizational efficiency and competitive advantage.

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

AspectOperations Research ManagerData Analyst
Required CredentialsBachelor's or Master's in Operations Research, Industrial Engineering, or related fields; often certifications in project managementBachelor's or Master's in Statistics, Data Science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentTypically in corporate, manufacturing, or logistics settings; managing teams and projectsIn offices or remote; analyzing data sets and creating reports
Employer & Industry UsageUsed in supply chain, manufacturing, logistics, and consulting firmsCommon across finance, marketing, healthcare, and tech industries

While both roles involve data analysis, Operations Research Managers focus on optimizing complex systems and processes using advanced mathematical models, often leading teams. Data Analysts primarily interpret data to support decision-making through reports and visualizations. The roles overlap in data skills but differ in scope and strategic impact.

What are the most commonly searched types of Operations Research jobs in Spokane, WA?

The most popular types of Operations Research jobs in Spokane, WA are:

What are popular job titles related to Operations Research Manager jobs in Spokane, WA?

For Operations Research Manager jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Operations Research Manager jobs in Spokane, WA look for?

The top searched job categories for Operations Research Manager jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Operations Research Manager jobs?

Cities near Spokane, WA with the most Operations Research Manager job openings:

Operations Research Manager jobs near you
Infographic showing various Operations Research Manager job openings in Spokane, WA as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $94,847 per year, or $45.6 per hour.

DIA Maching Lrng Eng

Ford Motor Company

Spokane Valley, WA

Full-time

Medical, Dental, Life, PTO

Re-posted 2 days ago

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

  • Bachelor's degree in computer science, mathematics, statistics, operations research, or related field 

  • Experience with the complete software lifecycle

  • 1+ years of experience with delivering and maintaining production software products

  • Strong technical writing and oral communication skills

  • Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps

  • Experience in productionizing generative AI to solve critical business problems

  • Preferred Qualifications

  • Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)

    • OR Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science 

    • OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience

  • Experience with cloud-based deployments and best practices

  • Demonstrated contributions and expertise in one or more of the following AI domains:

    • Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale, including development and deployment of LLM-driven AI agents capable of autonomous task execution and tool integration)

    • Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)

    • Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)

    • Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
 
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote unless you are within 50 miles of Dearborn, MI, then you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance is NOT provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-SG8

  • Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)

  • Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends

  • Apply AI and Machine Learning technology to solve complex, real-world problems

  • Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely

  • Fulfill problem formulation and ML technique consulting requests in a timely manner

  • Communicate and present analytical models to business customers and executive management

  • Work collaboratively with different business partners and be able to present results in a clear and concise manner

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