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Applied Mathematics Jobs in Colorado (NOW HIRING)

Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

... Applied Mathematics, Artificial Intelligence, Risk Management, etc. • Expertise in network security design • Strong knowledge of identity and access management (IAM) • Proficiency in designing ...

Conjunction Assessment Analyst

Colorado Springs, CO · On-site

$75K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience in one or more of the following areas: orbit determination, orbital mechanics, covariance analysis, collision avoidance, statistics, applied mathematics, applied physics, or related ...

Conjunction Assessment Analyst

Colorado Springs, CO · On-site

$75K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience in one or more of the following areas: orbit determination, orbital mechanics, covariance analysis, collision avoidance, statistics, applied mathematics, applied physics, or related ...

Showing results 41-60

Applied Mathematics information

See Colorado salary details

$23.7K

$61.9K

$99.4K

How much do applied mathematics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for applied mathematics in Colorado is $61,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $73,600.00 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 Colorado?

The most popular types of Applied Mathematics jobs in Colorado are:

What are popular job titles related to Applied Mathematics jobs in Colorado?

For Applied Mathematics jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics jobs in Colorado look for?

The top searched job categories for Applied Mathematics jobs in Colorado are:

What cities in Colorado are hiring for Applied Mathematics jobs?

Cities in Colorado with the most Applied Mathematics job openings:

Infographic showing various Applied Mathematics job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $61,868 per year, or $29.7 per hour.

Staff / Sr Staff Numerical Algorithm Software Engineer

SciTec

Boulder, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.
Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.
SciTec has immediate opportunities for talented software & algorithm developers and engineers to support programs focusing on low-latency data processing, fusion, and tracking algorithms for exploitation of remote sensing systems. Our ideal candidate will work well in multiple software languages as part of a rapid pace, collaborative, small-team environment consisting of Scientists, Engineers, and Developers and be able to prototype and develop advanced algorithms leading to eventual integration in C++ on Linux operating systems as part of government frameworks.
Responsibilities
  • Lead the research, development, and maturation of advanced numerical algorithms for remote sensing data exploitation across multi-modal sensor systems (e.g., EO/IR, SAR, RF)
  • Design, implement, and optimize high-performance algorithms in Python and C++, with a focus on scalability, efficiency, and operational robustness in mission environments
  • Architect and develop end-to-end signal processing, image processing, and data exploitation pipelines from prototype through production deployment
  • Advance modeling, simulation, and machine learning toolchains, including development of reusable frameworks and infrastructure to support algorithm evaluation and integration
  • Define and execute quantitative performance assessments of algorithms and sensor systems, including error characterization, sensitivity analysis, and validation against real-world data
  • Collaborate cross-functionally with software engineers, system architects, and mission stakeholders to integrate algorithms into operational systems and ensure mission alignment
  • Provide technical leadership within Agile development teams, including mentoring junior engineers, driving best practices, and contributing to shared codebases and tools
  • Support proposal efforts, technical roadmaps, and customer engagements by articulating algorithmic approaches and differentiators
  • Ensure compliance with mission assurance, security, and software quality standards applicable to DoD environments
  • Other duties as assigned

Requirements
  • Bachelor's or Master's degree in Applied Mathematics, Physics, Electrical Engineering, Computer Science, or related technical field
  • 2+ years of experience developing numerical algorithms for signal processing, image processing, or sensor data exploitation
  • Demonstrated expertise in developing and implementing algorithms in Python and C++
  • Strong foundation in numerical methods, linear algebra, probability/statistics, and optimization techniques
  • Experience working with real-world sensor data (e.g., EO/IR, SAR, RF, or multi-modal systems)
  • Proven ability to evaluate algorithm performance, including error analysis, validation, and benchmarking
  • Experience working in Linux-based development environments and modern software development practices (version control, testing, CI/CD)
  • Ability to work effectively in Agile or iterative development environments
  • Strong written and verbal communication skills, including ability to convey complex technical concepts to diverse stakeholders
  • U.S. Citizenship with ability to obtain and maintain a DoD security clearance (active clearance preferred)

Candidates who have any of the following skills will be preferred
  • PhD in Applied Mathematics, Physics, Electrical Engineering, or related field
  • Experience with advanced signal/image processing techniques (e.g., detection, tracking, estimation, inverse problems, or computer vision)
  • Familiarity with machine learning frameworks and integration of ML models into operational pipelines
  • Experience optimizing algorithms for performance (e.g., parallel computing, GPU acceleration, memory optimization)
  • Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or space-based sensors
  • Experience transitioning algorithms from research/prototype to production/operational environments
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Experience with modeling and simulation environments supporting sensor system development
  • Prior experience leading technical efforts or mentoring junior engineers
  • Active DoD security clearance

*Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Benefits
SciTec offers a highly competitive salary and benefits package, including:
  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • 100% company paid Hospital Indemnity insurance
  • Voluntary Accident and Critical Illness insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible Work Hours

The pay range for this position is $102,000 - $157,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.
SciTec is proud to be an Equal Opportunity employer. VETS/Disabled.

SciTec logo

About SciTec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

1979