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 ...
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 ...
Senior Data Scientist
Reston, VA · On-site
$120 - $180/hr
Incorporate field-inspection results back into the models to improve hit-rates over time. Required Qualifications * 5+ years of experience in data science, quantitative analytics, applied statistics ...
Senior Data Scientist
Reston, VA · On-site
$120 - $180/hr
Incorporate field-inspection results back into the models to improve hit-rates over time. Required Qualifications * 5+ years of experience in data science, quantitative analytics, applied statistics ...
AI Threat Analyst - Insider Risk
Herndon, VA · On-site
$136 - $187/hr
Applied statistics skills, such as distributions, statistical testing, regression, etc. * Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI)
AI Threat Analyst - Insider Risk
Herndon, VA · On-site
$136 - $187/hr
Applied statistics skills, such as distributions, statistical testing, regression, etc. * Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI)
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 ...
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 ...
AI Threat Analyst - Insider Risk
Herndon, VA · On-site
$136K - $187K/yr
Applied statistics skills, such as distributions, statistical testing, regression, etc. * Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI)
AI Threat Analyst - Insider Risk
Herndon, VA · On-site
$136K - $187K/yr
Applied statistics skills, such as distributions, statistical testing, regression, etc. * Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI)
AI Threat Analyst - Insider Risk
Arlington, VA · On-site
$136K - $187K/yr
Applied statistics skills, such as distributions, statistical testing, regression, etc. * Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI)
AI Threat Analyst - Insider Risk
Arlington, VA · On-site
$136K - $187K/yr
Applied statistics skills, such as distributions, statistical testing, regression, etc. * Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI)
AI Threat Analyst - Insider Risk with Security Clearance
Herndon, VA · On-site
$136K - $187K/yr
Applied statistics skills, such as distributions, statistical testing, regression, etc. * Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI)
AI Threat Analyst - Insider Risk with Security Clearance
Herndon, VA · On-site
$136K - $187K/yr
Applied statistics skills, such as distributions, statistical testing, regression, etc. * Knowledge of machine learning techniques and algorithms, Large Language Models (LLMs/Generative AI)
This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze ...
This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze ...
This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze ...
Quick apply
This is a hybrid role: data engineering (building and maintaining the pipelines that bring data into the platform) and applied data science (using classical statistics and machine learning to analyze ...
We are seeking an Applied Mathematician to help develop advanced tracking algorithms (for tracking ... Apply advanced mathematical and statistical methods to problems involving noisy, incomplete ...
We are seeking an Applied Mathematician to help develop advanced tracking algorithms (for tracking ... Apply advanced mathematical and statistical methods to problems involving noisy, incomplete ...
Research Statistician - Tracking and Estimation Theory with Security Clearance
Charlottesville, VA · On-site
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 ...
Research Statistician - Tracking and Estimation Theory with Security Clearance
Charlottesville, VA · On-site
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 ...
Research Statistician - Tracking and Estimation Theory with Security Clearance
Charlottesville, VA · On-site
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 ...
Research Statistician - Tracking and Estimation Theory with Security Clearance
Charlottesville, VA · On-site
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 ...
Senior Data Scientist (SMTS)
Mclean, VA · On-site
Strong fundamentals in applied statistics and probability * Demonstrated experience delivering advanced data mining or machine learning techniques as a lead or sole contributor.1 * At least two (2) ...
Senior Data Scientist (SMTS)
Mclean, VA · On-site
Strong fundamentals in applied statistics and probability * Demonstrated experience delivering advanced data mining or machine learning techniques as a lead or sole contributor.1 * At least two (2) ...
Senior Data Scientist
Reston, VA · On-site
Incorporate field-inspection results back into the models to improve hit-rates over time. Required Qualifications * 5+ years of experience in data science, quantitative analytics, applied statistics ...
Senior Data Scientist
Reston, VA · On-site
Incorporate field-inspection results back into the models to improve hit-rates over time. Required Qualifications * 5+ years of experience in data science, quantitative analytics, applied statistics ...
Senior Associate, Data Scientist - Applied AI
Alexandria, VA · On-site
$135.60 - $154.80/hr
Jobs / Senior Associate, Data Scientist - Applied AI Senior Associate, Data Scientist - Applied AI ... using statistical modeling and the relational database, cutting edge technology in 1988! Fast ...
Senior Associate, Data Scientist - Applied AI
Alexandria, VA · On-site
$135.60 - $154.80/hr
Jobs / Senior Associate, Data Scientist - Applied AI Senior Associate, Data Scientist - Applied AI ... using statistical modeling and the relational database, cutting edge technology in 1988! Fast ...
Senior Data Scientist
Reston, VA · On-site
Incorporate field-inspection results back into the models to improve hit-rates over time. Required Qualifications * 5+ years of experience in data science, quantitative analytics, applied statistics ...
Senior Data Scientist
Reston, VA · On-site
Incorporate field-inspection results back into the models to improve hit-rates over time. Required Qualifications * 5+ years of experience in data science, quantitative analytics, applied statistics ...
The Principal Applied Scientist serves as the scientific authority for the development, validation ... Apply statistical, probabilistic, and computational methods to characterize uncertainty and system ...
The Principal Applied Scientist serves as the scientific authority for the development, validation ... Apply statistical, probabilistic, and computational methods to characterize uncertainty and system ...
New College Grad - OI System Engineer Manassas, Virginia, United States of America Posted a day ago
Manassas, VA · On-site
$65 - $90/hr
The ability to quantify improvements using applied statistics. * The ability to maintain and continuously improve Industrial Engineering owned reports. * Good understanding of Agentic AI or ...
Posted today
New College Grad - OI System Engineer Manassas, Virginia, United States of America Posted a day ago
Manassas, VA · On-site
$65 - $90/hr
The ability to quantify improvements using applied statistics. * The ability to maintain and continuously improve Industrial Engineering owned reports. * Good understanding of Agentic AI or ...
Posted today
The Applied Science team serves this mission by building bold and ambitious AI systems. We are ... Statistical Models, Team Leadership
The Applied Science team serves this mission by building bold and ambitious AI systems. We are ... Statistical Models, Team Leadership
New College Grad - OI System Engineer
Manassas, VA · On-site
$65 - $90/hr
The ability to quantify improvements using applied statistics. * The ability to maintain and continuously improve Industrial Engineering owned reports. * Good understanding of Agentic AI or ...
New College Grad - OI System Engineer
Manassas, VA · On-site
$65 - $90/hr
The ability to quantify improvements using applied statistics. * The ability to maintain and continuously improve Industrial Engineering owned reports. * Good understanding of Agentic AI or ...
Applied Statistics information
See Virginia salary details
$40.2K - $47K
0% of jobs
$47K - $53.9K
0% of jobs
$58.6K is the 25th percentile. Wages below this are outliers.
$53.9K - $60.8K
37% of jobs
The median wage is $66.6K / yr.
$60.8K - $67.7K
15% of jobs
$67.7K - $74.6K
12% of jobs
$74.6K - $81.5K
0% of jobs
$81.5K - $88.4K
0% of jobs
$88.4K - $95.3K
0% of jobs
$95.3K - $102.2K
0% of jobs
$102.2K - $109.1K
0% of jobs
$111.1K is the 75th percentile. Wages above this are outliers.
$109.1K - $116K
35% of jobs
$40.2K
$82.9K
$116K
How much do applied statistics jobs pay per year?
As of Sep 4, 2026, the average yearly pay for applied statistics 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 an applied statistics?
An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.
What does an applied statistics do?
Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.
What are the key skills and qualifications needed to thrive in applied statistics?
To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.
Is applied statistics a good career?
Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. It offers diverse opportunities across industries such as healthcare, finance, and technology, with competitive salaries and growth potential. Success typically depends on strong analytical skills, statistical knowledge, and the ability to communicate findings effectively.
What can you do with an applied statistics degree?
An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation using tools like R or Python. Graduates can work in industries like healthcare, finance, marketing, or technology, often requiring strong analytical skills and knowledge of statistical methods. Certification in statistical software or data analysis can enhance job prospects.
What are the most commonly searched types of Applied Statistics jobs in Virginia?
The most popular types of Applied Statistics jobs in Virginia are:
What are popular job titles related to Applied Statistics jobs in Virginia?
For Applied Statistics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Applied Statistics jobs in Virginia look for?
The top searched job categories for Applied Statistics jobs in Virginia are:
What cities in Virginia are hiring for Applied Statistics jobs?
Cities in Virginia with the most Applied Statistics job openings:
Full-time
Posted 9 days ago
General Atomics rating
9.0
Based on 39 frontline employees who took The Breakroom Quiz
10th 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:
Operational Impact:
Research Leadership:
Job Qualifications
Preferred Qualifications:
Domain Experience:
Research Background:
Technical Breadth:
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:
Career Growth:
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
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; nine or more years of experience with a bachelor's degree, seven or more years of experience with a master's degree, or four 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
Pay
Benefits
Hours and flexibility
Workplace
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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