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Operations Research Jobs in Oregon (NOW HIRING)

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CTMS Operations Manager

OR · Remote

$90K - $120K/yr

How This Role Makes a Difference The CTMS Operations Manager owns CTMS platform governance ... CTMS platform admin certs, GCP/clinical research certifications, or relevant technical ...

Netflix

OR · On-site

MLIR engages with the external research community spanning ML/AI, statistics, economics, and operations research through conferences, academic collaborations, and publications. At the same time, it ...

Netflix

OR · On-site

$466K - $750K/yr

We are looking in all areas of machine learning, reinforcement learning, artificial intelligence, causal inference, optimization, statistics, economics, and operations research. What you bring * Ph.D ...

Netflix

OR · On-site

$466K - $750K/yr

We are looking in all areas of machine learning, reinforcement learning, artificial intelligence, causal inference, optimization, statistics, economics, and operations research. What you bring Ph.D ...

Capital One

OR · On-site

A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software ...

Upstart

OR

The work sits at the intersection of operations research, optimization, causal machine learning, and production decision systems. How you'll make an impact: * Define the technical vision for how ...

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All JobsOperations Research JobsOperations Research Jobs in Oregon

Operations Research information

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$40.7K

$99.2K

$159.7K

How much do operations research jobs pay per year?

As of Jun 11, 2026, the average yearly pay for operations research in Oregon is $99,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $122,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Operations Research Analyst, and why are they important?

To thrive as an Operations Research Analyst, you need strong quantitative analysis, mathematical modeling, and problem-solving skills, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages (such as Python or R), advanced Excel, and optimization software like CPLEX or Gurobi is often required. Outstanding communication, critical thinking, and teamwork abilities help translate complex data insights into actionable recommendations for stakeholders. These skills ensure effective analysis, informed decision-making, and successful implementation of solutions in complex organizational environments.

What does an operational researcher do?

An operations researcher analyzes complex systems and processes to improve efficiency and decision-making using mathematical models, statistics, and optimization techniques. They often work with data analysis tools and may develop algorithms to solve logistical, scheduling, or resource allocation problems in various industries.

Will AI replace research analysts?

Operations research analysts use advanced analytical methods and tools, including AI and machine learning, to solve complex problems and optimize decision-making. While AI can automate routine tasks and enhance data analysis, human expertise remains essential for interpreting results, developing models, and making strategic recommendations. AI is more likely to augment rather than fully replace research analysts in the foreseeable future.

What can I do with an operations research degree?

An operations research degree prepares individuals for roles such as operations analyst, supply chain manager, or data analyst, focusing on optimizing processes and decision-making using mathematical modeling and analytical tools. Graduates often work in industries like manufacturing, logistics, finance, and consulting, utilizing skills in statistics, programming, and problem-solving. Certifications in project management or data analysis can enhance career prospects.

What is operations research?

Operations research is a discipline that uses advanced analytical methods, such as mathematical modeling, statistics, and algorithms, to help organizations solve complex problems and make better decisions. Professionals in this field analyze data and systems to optimize processes, improve efficiency, and reduce costs. Operations research is applied in various industries, including logistics, manufacturing, healthcare, and finance, to support strategic planning and operational improvements.

What is the difference between Operations Research vs Data Analyst?

AspectOperations ResearchData Analyst
Required CredentialsBachelor's or master's in operations research, industrial engineering, or related fieldsBachelor's or master's in statistics, mathematics, or data science
Work EnvironmentAnalytical teams, consulting firms, manufacturing, logisticsBusiness, finance, marketing, technology sectors
Employer & Industry UsageSupply chain, transportation, manufacturing, governmentRetail, finance, healthcare, tech companies
Common Search & ComparisonOperations Research vs Data Analyst

Operations Research and Data Analysts both analyze data to improve decision-making, but Operations Research focuses on complex optimization and modeling for large systems, while Data Analysts interpret data trends for business insights. Their roles often overlap but serve different strategic purposes in organizations.

What is the work of operations research?

Operations research involves applying analytical methods and mathematical models to help organizations make better decisions, optimize processes, and improve efficiency. Professionals in this field use tools like linear programming, simulation, and data analysis to solve complex problems across industries such as logistics, manufacturing, and healthcare.

What Are the Qualifications to Get a Job in Operations Research?

The qualifications to get a job in operations research typically include a bachelor’s degree and strong technical and mathematical skills. Data science, statistics, applied math, and engineering are all good subjects to study in college. It is also useful to have a working knowledge of the specific industry in which you work, such as logistics and delivery, healthcare, or business. More complex positions often require advanced degrees. In addition to these formal qualifications, programming experience with R or other statistical software and strong analytical skills are essential.

What are some typical challenges faced by professionals in Operations Research, and how can they be addressed?

Operations Research professionals often encounter challenges such as working with incomplete or imperfect data, translating complex mathematical models into actionable business solutions, and communicating technical findings to non-technical stakeholders. Successfully addressing these challenges involves collaborating closely with subject matter experts, utilizing robust data validation techniques, and developing strong communication skills to clearly convey results and recommendations. Additionally, staying updated on the latest optimization tools and methodologies can help streamline problem-solving processes.
More about Operations Research jobs
What are the most commonly searched types of Operations Research jobs in Oregon? The most popular types of Operations Research jobs in Oregon are:
What are popular job titles related to Operations Research jobs in Oregon? For Operations Research jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Operations Research jobs in Oregon look for? The top searched job categories for Operations Research jobs in Oregon are:
What cities in Oregon are hiring for Operations Research jobs? Cities in Oregon with the most Operations Research job openings:
Operations Research jobs near you
Infographic showing various Operations Research job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $99,178 per year, or $47.7 per hour.
Senior Machine Learning Engineer, Operations Research

Senior Machine Learning Engineer, Operations Research

Instacart

OR • Remote

$204K/yr

Other

Posted 2 days ago

Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

Job description

Overview:

We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this role, you will work at the intersection of combinatorial optimization, mathematical programming, and AI to solve high-impact problems in the fulfillment space - including order batching, shopper routing, service availability prediction, and real-time assignment. You'll partner closely with engineering, product, and data science to ship models and algorithms that directly influence Instacart's profitability and shopper experience at scale.

The Logistics & ML group is responsible for the intelligence and execution behind Instacart's fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

  • Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
  • Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
  • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.


About You:

Minimum Qualifications:

  • Have a graduate degree (masters or PhD) in Operations Research or Industrial Engineering
  • 3+ years of industry experience using machine learning to solve real-world problems with large datasets
  • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Have strong analytical skills and problem-solving ability
  • Are a strong communicator who can collaborate with diverse stakeholders across all levels

Preferred Qualifications:

  • Knowledge of deep learning frameworks and methodologies
  • Experience in applying machine learning and optimization techniques to solve marketplace problems


#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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