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Applied Math Jobs in Montana (NOW HIRING)

Worky

AI Engineer - IT AI and Data Technology

Helena, MT · On-site

$150 - $210/hr

EDUCATION Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Data Science, Applied Mathematics, Statistics, or a related field is preferred.

Block

Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

Posted today

Block

Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

Posted today

Block

Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

Posted today

Block

Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

Posted today

Block

Apollo - Block Applied R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 ... Statistics, Mathematics, Operations Research, or a related field, and returning to that program ...

Posted today

The Washington Companies

AI Strategist

Missoula, MT · On-site

Bachelor's degree in computer science, Engineering, Data Science, Applied Mathematics, or a related discipline. Relevant certifications in AI, cloud platforms, or data engineering are considered an ...

U.S. Navy

Engineering Duty Officer

Great Falls, MT · On-site

Your math and science skills will be vital to constantly improving the Navy's warfighting ... Space Systems Engineering (Applied Physics) * Computer Science Massachusetts Institute of ...

U.S. Navy

Engineering Duty Officer (Reserve)

Missoula, MT

$160K - $206K/yr

Your math and science skills will be vital to constantly improving the Navy's warfighting ... Applied Physics), Computer Science * Massachusetts Institute of Technology (MIT) * Curriculum ...

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Showing results 21-40

All JobsApplied Math JobsApplied Math Jobs in Montana

Applied Math information

See Montana salary details

$20.7K

$54K

$86.7K

How much do applied math jobs pay per year?

As of Sep 2, 2026, the average yearly pay for applied math in Montana is $54,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,300.00 and $64,200.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

What are popular job titles related to Applied Math jobs in Montana?

For Applied Math jobs in Montana, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in Montana look for?

The top searched job categories for Applied Math jobs in Montana are:

Applied Math jobs near you
Infographic showing various Applied Math job openings in Montana as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $54,003 per year, or $26 per hour.

Senior AI Engineer - IT AI and Data Technology

St. Peter's Health

Helena, MT • On-site

$95K - $129K/yr

Full-time

Posted 26 days ago

Job description

Lead the future of healthcare AI at St. Peter's Health! As our Lead AI Engineer, you'll serve as the principal technical leader responsible for designing, building, and scaling enterprise AI solutions that improve clinical and business operations. You'll partner closely with the Director of AI to establish the organization's AI platform, architecture, engineering standards, and best practices while mentoring a growing engineering team. This hands-on leadership role combines software architecture, cloud-native engineering, MLOps/LLMOps, and applied AI-including generative AI, machine learning, NLP, and intelligent agents-to deliver secure, reliable, and impactful production solutions across the health system. If you're passionate about building enterprise AI from the ground up and driving innovation in healthcare, this is an opportunity to make a lasting impact.

KNOWLEDGE/EXPERIENCE:   
Required:

  • Ten or more years of progressive professional experience in software engineering, application architecture, platform engineering, distributed systems, or related technology work, including at least three years of hands-on experience deploying and operating production AI/ML systems.
  • Qualifying production AI experience may include traditional machine learning, natural language processing, computer vision, recommender systems, predictive modeling, generative AI, or related applied AI systems.
  • Advanced software engineering and architecture proficiency in Python and strong working proficiency in one or more additional enterprise programming languages such as C#, Java, TypeScript, or Go.
  • Demonstrated experience architecting and operating distributed, cloud-native applications, APIs, data services, containers, automated delivery pipelines, infrastructure automation, and production observability.
  • Deep working knowledge of the production AI/ML lifecycle, including model and service integration, retrieval, agents, evaluation, MLOps or LLMOps, monitoring, reliability, governance, security, and cost optimization.
  • Demonstrated ability to lead architecture decisions, mentor senior engineers, coordinate complex technical workstreams, communicate with executives and stakeholders, and guide production outcomes across teams.

Preferred:

  • Experience in a healthcare provider, payer, health system, life sciences, financial services, or other highly regulated environment.
  • Experience integrating with Epic or another electronic health record, FHIR, HL7, clinical data, medical terminology, or healthcare operational systems.
  • Experience establishing enterprise AI or ML platform architecture on Microsoft Azure, AWS, Google Cloud, or a comparable large-scale cloud environment.
  • Experience leading MLOps or LLMOps, retrieval-augmented generation, semantic or vector search, agentic systems, model evaluation, and AI application observability at production scale.
  • Strong working knowledge of HIPAA, HITECH, healthcare privacy, information security, data governance, responsible AI, clinical safety, and audit requirements.
  • Experience evaluating vendors, leading build-versus-buy decisions, defining reference architectures, and establishing engineering standards for a growing technical organization.

EDUCATION:  
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Data Science, Applied Mathematics, Statistics, or a related field is preferred. Equivalent combinations of education, advanced technical training, certifications, and directly relevant professional experience may be considered.

A master's degree in a related field is preferred. Advanced education may substitute for a portion of the required experience when accompanied by demonstrated enterprise software architecture, production engineering, and AI deployment capability.
 

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