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Mathematical Modeling Jobs in Oregon (NOW HIRING)

Senior Analyst, Network Optimization

OR · On-site +1

$87K - $116K/yr

Apply mathematical modeling techniques such as linear and mixed-integer programming, regression analysis, and systems of equations to complex supply chain data and problems. * Design, evaluate, and ...

Actuary - RP Modeling

Portland, OR · Remote

$123K - $145K/yr

Bachelor's degree (or equivalent combination of education and experience) in mathematics, actuarial ... Developing and maintaining projection models supporting Retirement Plans, Individual Annuities, or ...

Actuary - RP Modeling

OR · On-site +1

$116K - $136K/yr

Bachelor's degree (or equivalent combination of education and experience) in mathematics, actuarial ... Developing and maintaining projection models supporting Retirement Plans, Individual Annuities, or ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

... mathematical modeling * Learning and understanding how to safely operate a range of unit operations and demonstrating proficiency for achieving quality results * Maintaining an accurate and detailed ...

New

We are seeking visionary computer architects to design and develop models for the next generation ... Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.

Portfolio Strategist

OR · On-site +1

$121K - $156K/yr

... mathematical models and statistical techniques Skilled at producing clear, polished work products including PowerPoint decks and Excel models

Showing results 21-40

Mathematical Modeling information

See Oregon salary details

$29.1K

$60K

$64K

How much do mathematical modeling jobs pay per year?

As of Aug 18, 2026, the average yearly pay for mathematical modeling in Oregon is $59,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $62,900.00 per year, depending on experience, location, and employer.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

How to get a job in mathematical modeling?

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

What are the key skills and qualifications needed to thrive as a mathematical modeler, and why are they important?

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What do you do in mathematical modeling?

In mathematical modeling, a mathematical modeler develops mathematical representations of real-world systems to analyze and predict their behavior. This involves formulating equations, using computational tools, and validating models with data to support decision-making or problem-solving. Strong analytical skills and knowledge of programming languages like Python or MATLAB are often essential.

What are popular job titles related to Mathematical Modeling jobs in Oregon?

For Mathematical Modeling jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Mathematical Modeling jobs in Oregon look for?

The top searched job categories for Mathematical Modeling jobs in Oregon are:

Infographic showing various Mathematical Modeling job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $59,972 per year, or $28.8 per hour.

Senior Analyst, Network Optimization

Exol

OR • On-site, Remote

$87K - $116K/yr

Full-time

Posted 13 days ago


Job description

Who we are

More efficient. More accurate. More accessible. Exol is bringing industry-leading automation to businesses of all sizes through an innovative warehouse-as-a-service model.

What we need

As a Senior Analyst, Network Optimization, you will execute data-driven projects and support both internal operations and commercial growth initiatives. In this role, you will transform raw customer data into actionable insights, support network optimization engagements, and help develop the analytics tools used to win bids and improve supply chain performance. This position reports to the Senior Manager, Supply Chain Design & Analytics.

What we do

The Customer Solutions organization at Exol is a critical part of the sales engine designed to provide end-to-end support for bid development for new business acquisitions. Integrating the functions of supply chain analytics, pricing, solutions engineering and customer communications the team creates cohesive, data-driven bidding approaches to ensure consistency and maximize success in winning new contracts.

*Exol is an independently managed joint venture between Symbotic and Softbank.

What you'll do

  • Apply mathematical modeling techniques such as linear and mixed-integer programming, regression analysis, and systems of equations to complex supply chain data and problems.

  • Design, evaluate, and implement operations research solutions in the areas of network design, network optimization, distribution capacity projection, inventory planning and demand forecasting,

  • Process raw customer data to support cost and pricing analytics, network optimization solutions, and other analytics that support the sales team in competitive bids.

  • Manage end-to-end network optimization projects - including facility location analysis, capacity planning, transportation flow optimization, and cost-to-serve modeling - to support strategic decisions such as where to open new sites, expand existing warehouse capacity, or invest in additional network infrastructure.

  • Contribute to the transition of Excel-based analytics and workflows into scalable applications within our software platform, guiding requirements, prioritizing features, and ensuring successful delivery.

  • Build and maintain customer-facing analytics dashboards to deliver supply chain insights, such as inventory optimization and demand forecasting

  • Lead the development, deployment, and ongoing improvement of AI agents across a wide range of use cases to automate analytics, streamline processes, enhance decision-making, streamline processes and improve operational efficiency.

  • Demonstrated exposure to network design and optimization projects (greenfield, brownfield, transportation optimization, inventory placement, etc.)

What you'll need

  • Bachelor's degree in supply chain management, Industrial and Operations Engineering, Mathematics, or related field.

  • Minimum 5 years of experience executing supply chain analytics projects (e.g., network optimization, inventory optimization, and demand forecasting).

  • Expert-level proficiency in Excel and Microsoft Office tools.

  • Experience with network optimization platforms such as Supply Chain Guru.

  • Hands-on experience with Python.

  • Adaptability to thrive in a dynamic startup environment with shifting priorities.

  • Strong problem-solving abilities and a proactive approach to task ownership.

Preferred Skills & Qualifications

  • Exposure to AI agent development, deployment, and evaluation.

  • Experience working within Agile/Sprint methodologies for project or product development.

  • Experience using agile sprint methodologies to manage product development.

  • Exposure to warehouse automation and its impact on end-to-end supply chains.

  • Strong Python coding skills and experience with data visualization tools (e.g., Tableau, Power BI).

  • Effective data storytelling skills, with the ability to translate analytical findings into clear insights for the team and stakeholders.

Our Environment

  • Up to 10% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.

  • The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

#LI-TN1

#LI-Remote

About Exol

Exol provides flexible and scalable outsourced warehouse services to meet the dynamic needs of the modern supply chain. We operate state-of-the-art distribution centers, allowing you to focus on your business while we handle the complexities of warehouse operations. For more information, visitwww.exol.com.