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Statistics Internships Jobs in Virginia (NOW HIRING)

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Job Summary Are you a statistician who wants to see your Bayesian models protect national security ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

Job Summary Are you a statistician who wants to see your Bayesian models protect national security ... Prior internships or collaborations with defense, aerospace, or robotics organizations * Experience ...

Hampton University

Director

Hampton, VA · On-site

$70K - $75K/yr

The Director develops innovative programs that support career readiness, internships, experiential ... quantitative and statistical evidence. • Partner closely with academic departments, faculty ...

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How much do statistics internships jobs pay per year?

As of Aug 18, 2026, the average yearly pay for statistics internships in Virginia is $82,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a statistics internship?

A Statistics Internship is a temporary position that allows students or recent graduates to gain hands-on experience in data analysis, statistical modeling, and research. Interns typically work with datasets, perform statistical tests, and assist in interpreting results to support business or research objectives. These roles are common in industries such as finance, healthcare, technology, and government. The internship helps build practical skills in statistical software like R, Python, or SAS, preparing candidates for full-time roles in data science, analytics, or research.

What are the key skills and qualifications needed for a statistics internship?

To thrive in a Statistics Internship, you should have a solid understanding of statistical theory, data analysis methods, and proficiency in mathematics, typically supported by coursework in statistics or a related field. Familiarity with statistical software such as R, Python, SAS, or SPSS, as well as spreadsheet tools like Excel, is commonly expected. Strong analytical thinking, clear communication, and teamwork skills are highly valued in this role. These qualifications are essential to accurately analyze data, interpret results, and effectively contribute to collaborative research or business projects.

What kind of projects do statistics interns typically work on during their internship?

Statistics interns often support data-driven projects such as analyzing large datasets, creating data visualizations, running statistical tests, and assisting with preparing reports or presentations. You might collaborate closely with research teams, business analysts, or data scientists to help solve real-world problems or inform business strategies. Many internships also provide opportunities to learn how to clean and preprocess data, interpret findings, and communicate results to non-technical stakeholders. These experiences help interns develop practical skills and better understand how statistical analysis is applied in professional settings.

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Infographic showing various Statistics Internships job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $82,939 per year, or $39.9 per hour.

Data Scientist III

General Atomics

Charlottesville, VA • On-site

$98K - $171K/yr

Full-time

Re-posted 25 days ago

General Atomics rating

9.0

Company rating: 9.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

11th of 72 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

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About General Atomics

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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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