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Applied Math Internships Jobs in Virginia (NOW HIRING)

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

... Engineering, Mathematics, or a closely related quantitative field. * This is a hybrid role in ... internships, or realworld projects involving applied machine learning. #LI-WA1 #LI-HYBRID

AECOM

Travel Demand Modeler

Arlington, VA

Bachelor's degree in Engineering, Transportation Planning, Applied Mathematics, Computer Science ... Relevant experience, including internships or academic research * Strong problem-solving ...

AECOM

Travel Demand Modeler

Arlington, VA

Bachelor's degree in Engineering, Transportation Planning, Applied Mathematics, Computer Science ... Relevant experience, including internships or academic research * Strong problem-solving ...

AECOM

Travel Demand Modeler

Arlington, VA · On-site

Bachelor's degree in Engineering, Transportation Planning, Applied Mathematics, Computer Science ... Relevant experience, including internships or academic research * Strong problem-solving ...

Ametek

Machine Learning Engineer

Herndon, VA · On-site

... Engineering, Mathematics, or a closely related quantitative field. * This is a hybrid role in ... internships, or real-world projects involving applied machine learning. #LI-WA1 #LI-HYBRID ...

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Applied Math Internships information

What are the key skills and qualifications needed to thrive in Applied Math Internships, and why are they important?

To thrive in Applied Math Internships, you need strong mathematical reasoning, problem-solving abilities, and coursework in calculus, linear algebra, and statistics. Familiarity with programming languages like Python, MATLAB, or R, as well as data analysis tools, is often required. Effective communication, collaboration, and adaptability help interns present findings and work within interdisciplinary teams. These skills and qualities are essential for translating mathematical theory into practical solutions and contributing effectively to research or business projects.

What is the difference between Applied Math Internships vs Data Analyst Internships?

AspectApplied Math InternshipsData Analyst Internships
Required CredentialsMathematics, statistics, or related degrees; programming skillsStatistics, data analysis, programming, often with business focus
Work EnvironmentResearch labs, tech companies, finance, academiaBusiness, finance, marketing, tech firms
Employer & Industry UsageResearch institutions, tech companies, finance firmsCorporations, consulting firms, marketing agencies
Common Search & Comparison IntentUnderstanding internship roles in applied mathExploring data analysis internship opportunities

Applied Math Internships focus on mathematical modeling, algorithm development, and research, often in academic or research settings. Data Analyst Internships emphasize data interpretation, visualization, and business insights, typically within corporate environments. While both roles require analytical skills and programming knowledge, they serve different industry needs and career paths.

What types of projects can I expect to work on during an Applied Math internship?

As an Applied Math intern, you’ll typically work on real-world problems that require mathematical modeling, data analysis, and algorithm development. Projects may include optimizing business processes, analyzing large datasets, or developing simulations for engineering or financial applications. Interns often collaborate with interdisciplinary teams that include data scientists, engineers, and business analysts, giving you exposure to practical applications of mathematical theories. This hands-on experience helps build both technical and communication skills, which are valuable for future career growth.

What are applied math internships?

Applied math internships are short-term opportunities for students or recent graduates to gain practical experience using mathematical theories and methods to solve real-world problems in various industries. These internships often involve working on projects related to data analysis, modeling, optimization, or statistical research. They provide valuable hands-on experience, help build professional networks, and can be a stepping stone to a full-time career in fields like finance, technology, engineering, or research. Interns typically collaborate with professionals, learn new software tools, and apply classroom knowledge to practical challenges.
What are popular job titles related to Applied Math Internships jobs in Virginia? For Applied Math Internships jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Applied Math Internships jobs in Virginia look for? The top searched job categories for Applied Math Internships jobs in Virginia are:
Applied Math Internships jobs near you
Infographic showing various Applied Math Internships job openings in Virginia as of June 2026, with employment types broken down into 13% Internship, 49% Full Time, and 38% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.
Data Scientist III

Data Scientist III

General Atomics

Charlottesville, VA • On-site

$98K - $171K/yr

Full-time

Posted 9 days ago

General Atomics rating

8.9

Company rating: 8.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

5th of 60 rated aerospace companies

Job description

Job Summary
Are you a statistician who wants to see your Bayesian models protect national security?
GA-Intelligence is seeking a Statistics PhD to develop tracking algorithms that process data from heterogeneous sensors, fuse tracks across domains, and enable time-critical intelligence decisions. You'll apply statistical inference, state-space modeling, and Monte Carlo methods to multi-target tracking challenges that combine mathematical rigor with operational constraints.
Your work will span algorithm research, operational analysis, and production deployment-from deriving novel filters to validating performance on classified sensor data to partnering with engineers who implement your algorithms at scale.
DUTIES AND RESPONSIBILITIES:
Algorithm Research and Development:
  • Guide the development of state-of-the-art tracking algorithms from existing tracking literature, ensuring technical correctness.
  • Develop statistical approaches to data association in multi-target, multi-sensor environments
  • Derive probabilistic models for target behavior and sensor measurement processes
  • Prototype algorithms in Python, MATLAB, or R and validate performance through Monte Carlo simulation
  • Apply modern statistical and computational methods to emerging tracking challenges

Operational Impact:
  • Collaborate with intelligence analysts to understand tracking requirements and operational constraints
  • Analyze tracking performance on real-world sensor data from classified systems
  • Quantify and communicate uncertainty, assumptions, and limitations to support operational decision-making
  • Translate operational gaps into tractable statistical problems
  • Partner with software engineers to transition algorithms from prototype to production

Research Leadership:
  • Publish internal research on tracking advances and algorithmic innovations
  • Present findings to technical staff, program managers, and government decision-makers, as well as external conferences
  • Contribute to proposal development and help shape future research directions
  • Mentor junior team members and future hires
  • Stay current with tracking research literature and evaluate applicability to operational problems
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications
  • Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; five or more years of experience with a bachelor's degree, three or more years of experience with a master's degree, or one or more years with a PhD. May substitute equivalent experience in lieu of education.
  • Strong preference for PhD in Statistics, Biostatistics, or closely related quantitative field
  • Dissertation research in Bayesian inference, state-space modeling, sequential estimation, or time series analysis
  • Strong foundations in statistical inference, probability theory, statistical modeling, and Bayesian methods
  • Deep understanding of state-space models, Kalman filtering, and sequential Monte Carlo methods
  • Expertise in stochastic processes and time series analysis
  • Proficiency in Python, MATLAB, R, or similar scientific computing languages
  • Experience implementing statistical algorithms and conducting simulation studies
  • Strong analytical and problem-solving abilities
  • Ability to communicate complex statistical concepts clearly to technical and non-technical audiences
  • Curiosity about operational applications and mission context
  • Collaborative mindset-works well with software engineers, intelligence analysts, and researchers
  • Ability to obtain and maintain a DoD security clearance is required.

Preferred Qualifications:
Domain Experience:
  • Familiarity with tracking, navigation, or multi-target systems
  • Experience with sensor fusion or data association problems
  • Knowledge of Extended Kalman Filters, Unscented Kalman Filters, particle filters, or IMM filters
  • Understanding of coordinate transformations and reference frames

Research Background:
  • Contributed to peer-reviewed publications, technical reports, or conference presentations
  • Experience with probabilistic programming frameworks
  • Dissertation work involving real-world sensor data or applied problems
  • Prior internships or collaborations with defense, aerospace, or robotics organizations
  • Experience writing technical proposals for government research projects
  • Experience leading technical projects or mentoring junior researchers

Technical Breadth:
  • Programming experience in one or more languages such as Python, C++, Java
  • High-performance computing or numerical optimization
  • Version control (Git) and collaborative development practices
  • Exposure to real-time systems or computational constraints

Why Join GA-Intelligence
Operational Impact: Your tracking algorithms will run in production systems supporting intelligence analysts and military personnel. Your work directly contributes to national security missions.
Technical Challenge: Multi-target tracking in adversarial environments with heterogeneous sensors is an unsolved research problem. You'll tackle cutting-edge algorithmic challenges that combine statistical rigor with operational constraints.
Collaborative Environment: Work alongside tracking mathematicians, software engineers, intelligence analysts, and mission experts. We value diverse perspectives and believe the best solutions emerge from multidisciplinary collaboration. Our team is committed to advancing the state-of-the-art in tracking while maintaining a culture of innovation, integrity, and teamwork.
Research Opportunities: Continue publishing research, present at conferences, and contribute to the tracking research community while delivering operational capabilities.
Charlottesville Location:
  • Blue Ridge Mountains and Shenandoah National Park (30 minutes)
  • University town culture with intellectual community (University of Virginia)
  • Short average commute (no DC Beltway traffic)

Career Growth:
  • Build and lead tracking algorithm research team over time
  • Technical leadership opportunities
  • Shape strategic direction of tracking capabilities

What General Atomics employees say

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About General Atomics

Sourced by ZipRecruiter

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955

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