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Applied Mathematics Jobs in Oregon (NOW HIRING)

Bachelor's degree in computer science, engineering, information systems, applied mathematics, operations research, or a related technical field * 8+ years of experience in software engineering ...

Senior Computational Engineer

Portland, OR

$110K - $152K/yr

Bachelor's degree in Ocean Engineering, Naval Architecture, Mechanical Engineering, Aerospace Engineering, Physics, Applied Mathematics, or a similar field. * Strong foundation in fluid mechanics ...

Senior Computational Engineer

Portland, OR · On-site

$110K - $152K/yr

Bachelor's degree in Ocean Engineering, Naval Architecture, Mechanical Engineering, Aerospace Engineering, Physics, Applied Mathematics, or a similar field. * Strong foundation in fluid mechanics ...

Fluid Dynamicist

Portland, OR · On-site

$18.25 - $22/hr

Bachelor's degree in Ocean Engineering, Naval Architecture, Mechanical Engineering, Aerospace Engineering, Physics, Applied Mathematics, or a similar field. * Strong foundation in fluid mechanics ...

Computer science, Data Science, Engineering, Operations Research, Industrial Engineering, Applied Mathematics Additional Education: A master's degree in Artificial Intelligence, Data Science ...

Compiler Engineer

Hillsboro, OR · On-site

$128K - $181K/yr

Minimum Qualifications: - Bachelor's degree in Computer Science, Applied Mathematics, Informatics, or a related technical discipline. - 3+ years of experience in C/C++ programming, object-oriented ...

Strong theoretical and applied statistics foundation, including statistical distributions, mathematical modeling, matrix/linear algebra concepts, inference, uncertainty, and model diagnostics.

Showing results 41-60

Applied Mathematics information

See Oregon salary details

$23.8K

$62.2K

$99.9K

How much do applied mathematics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for applied mathematics in Oregon is $62,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $74,000.00 per year, depending on experience, location, and employer.

What is the future of applied mathematics?

Applied mathematics is expected to grow as it plays a crucial role in data analysis, modeling, and problem-solving across industries such as technology, finance, and engineering. Professionals in this field will likely need strong skills in programming, statistical analysis, and computational tools to stay relevant in evolving technological environments.

What is applied mathematics?

An Applied Mathematics job involves using mathematical methods and models to solve real-world problems in various industries, such as finance, engineering, data science, and healthcare. Professionals in this field apply statistical analysis, computational techniques, and mathematical modeling to optimize processes, predict outcomes, and support decision-making. They often work in interdisciplinary teams, collaborating with scientists, economists, or engineers. Common job roles include data analyst, operations researcher, and quantitative analyst.

What are the key skills and qualifications needed to thrive in applied mathematics?

To thrive in Applied Mathematics, you need a strong background in mathematical modeling, statistical analysis, and problem-solving, usually supported by a degree in mathematics, applied mathematics, or a related field. Proficiency with programming languages such as Python, MATLAB, or R, as well as experience with data analysis software, is typically required. Strong analytical thinking, effective communication, and attention to detail help professionals present complex findings clearly and work collaboratively with interdisciplinary teams. These skills are essential for translating mathematical theories into practical solutions that address real-world business or scientific challenges.

What careers use applied mathematics?

Applied mathematics is used in careers such as data analyst, operations researcher, financial analyst, actuary, engineer, and computer scientist. These roles involve modeling, problem-solving, and analyzing data using mathematical techniques and tools like statistical software and programming languages. Strong analytical skills and knowledge of mathematical concepts are essential in these fields.

Is applied mathematics a useful degree?

Applied mathematics is a useful degree for careers in data analysis, engineering, finance, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often work with programming tools like MATLAB or Python and may pursue certifications to enhance job prospects.

What does someone in applied mathematics do?

Professionals in Applied Mathematics often work on projects that involve developing mathematical models to solve practical problems in areas such as finance, engineering, healthcare, or technology. Common responsibilities include analyzing large datasets, optimizing processes, running simulations, and collaborating with specialists from other fields to interpret results and implement solutions. The day-to-day work can range from pure data analysis to creating algorithms or forecasting models, depending on the specific industry. This dynamic role requires a balance of independent research and teamwork, providing opportunities to make a tangible impact across various sectors.

What are the most commonly searched types of Applied Mathematics jobs in Oregon? The most popular types of Applied Mathematics jobs in Oregon are:
What are popular job titles related to Applied Mathematics jobs in Oregon? For Applied Mathematics jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Applied Mathematics jobs? Cities in Oregon with the most Applied Mathematics job openings:
Infographic showing various Applied Mathematics job openings in Oregon as of August 2026, with employment types broken down into 68% Full Time, 27% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $62,208 per year, or $29.9 per hour.

Lead Solution Architect, Supply Chain Risk Management Platform - Clearance Required

LMI

On-site

Full-time

Posted 17 days ago


Job description

Overview

The Lead Solution Architect serves as the senior technical authority for an enterprise Supply Chain Risk Management platform and is responsible for overall technical architecture, engineering execution, infrastructure, tooling, and implementation quality across the program. Working in close partnership with the Product Manager, this role translates product vision, mission needs, and customer intent into technically sound, scalable, and secure solutions, and serves as the principal technical counterbalance on feasibility, sequencing, implementation tradeoffs, and engineering rigor. This position requires an active DoD Secret clearance. Top Secret preferred.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Serve as the technical lead and lead solution architect for the platform across data engineering and operations, modeling and simulation, and full-stack application development
  • Define and maintain the target technical architecture, including application, data, integration, security, and environment strategy
  • Translate product direction, customer needs, and mission requirements into executable technical designs, implementation plans, and engineering priorities
  • Lead comprehensive multi-day Quarterly PI Planning events to ensure alignment among team members and clients on product features, capabilities, and requirements
  • Collaborate proactively with internal and external stakeholders to drive consensus on the Product Roadmap and strategic priorities
  • Break down product vision into implementable work packages, epics, features, and technical tasks that can be delivered by balanced product teams
  • Guide engineering teams through agile delivery by helping structure work, resolve blockers, sequence dependencies, and maintain momentum toward release objectives
  • Provide technical feasibility assessments, implementation tradeoff recommendations, and architecture decision support to the Program Manager and Product Manager
  • Establish and enforce engineering standards, development practices, and quality controls across software, data, and platform delivery teams
  • Oversee solution design for data pipelines, APIs, dashboards, web applications, modeling and simulation capabilities, and other supporting platform services
  • Guide the design and implementation of modern, scalable technology stacks using industry-standard tools, frameworks, managed services, and engineering best practices
  • Deliver engaging and effective client demonstrations, both virtually and in-person, across multiple environments (NIPR, SIPR, JWICS) in response to client requests, ensuring tailored presentations that meet diverse operational needs
  • Lead technical planning and coordination across cross-functional teams spanning software engineering, data engineering, UX, DevSecOps, and mission integration support
  • Ensure the platform is designed and deployed in a manner that supports security, governance, role-based access, and operation across multiple environments and classification domains
  • Drive technical integration of new data sources, customer-specific requirements, and evolving platform capabilities while minimizing technical debt and preserving long-term scalability
  • Support production releases, system demonstrations, deployment validation, and technical readiness for operational use
  • Mentor technical staff and provide leadership on architecture, implementation patterns, troubleshooting, and continuous improvement
Qualifications

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, information systems, applied mathematics, operations research, or a related technical field
  • 8+ years of experience in software engineering, solution architecture, technical leadership, or platform delivery for complex mission or enterprise systems
  • Demonstrated experience architecting and delivering production applications in government, defense, or other highly regulated environments
  • Working technical knowledge and demonstrated ability to lead teams across three primary domains: data engineering and operations, modeling and simulation, and full-stack application development
  • Experience leading balanced agile teams and applying modern delivery practices to break down work, manage dependencies, and drive execution, even if not serving in a formal Scrum Master role
  • Demonstrated ability to translate mission or business needs into technical architecture, implementation plans, engineering roadmaps, and actionable team backlogs
  • Experience with enterprise application architecture, APIs, data integration, cloud or hybrid infrastructure, and modern DevSecOps-enabled delivery practices
  • Technical familiarity with industry-leading tools, frameworks, and best practices used to build modern enterprise platforms, including front-end development, data platforms, cloud-managed services, user experience tooling, and CI/CD or deployment pipelines
  • Experience designing systems that support access controls, governance, and operation across multiple security domains or classification boundaries
  • Strong written and verbal communication skills, including ability to explain technical concepts, tradeoffs, and risks to senior leaders and non-technical stakeholders
  • This position requires an active DoD Secret clearance. Top Secret preferred.

Preferred Qualifications:

  • Experience supporting defense, federal, or national security missions related to logistics, sustainment, supply chain risk, industrial base, or enterprise data platforms
  • Experience working within OSD, Service component program offices, Major Defense Acquisition Programs, or similarly complex mission organizations
  • Familiarity with modeling and simulation, decision-support systems, or data-rich mission applications in classified and unclassified environments
  • Experience with industry-standard data integration and infrastructure tools (e.g., AWS, Databricks, Apache Airflow, etc.)
  • Experience leading teams using modern full-stack, data engineering, and cloud-based technology ecosystems, including tools commonly used for enterprise web applications, platform services, analytics, and human-centered design
  • Master's degree in a relevant technical field or equivalent advanced professional experience

Target salary range: $150,000 - $210,000

Disclaimer: 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Job LocationsUS-VA-Tysons US-RemoteEmployment Type: OTHER