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Bayesian Optimization 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 ... High-performance computing or numerical optimization * Version control (Git) and collaborative ...

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 ... High-performance computing or numerical optimization * Version control (Git) and collaborative ...

Mindlance

Senior Data Scientist

Mclean, VA · On-site

Qualifying coursework may include but is not limited to statistics, mathematical programming, optimization, machine learning, computational * methods, design and analysis of algorithms, Bayesian ...

eSolutionsFirst, LLC

Data Scientist Senior

Mclean, VA · On-site

Qualifying coursework may include but is not limited to statistics, mathematical programming, optimization, Client hine learning, computational methods, design and analysis of algorithms, Bayesian ...

Berkley

Senior Data Scientist

Glen Allen, VA · On-site

Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes ... Complex query optimization, dbt or similar, working fluently with Spark or Databricks. * Cloud ...

Berkley

Senior Data Scientist

Glen Allen, VA · On-site

Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes ... Complex query optimization, dbt or similar, working fluently with Spark or Databricks. * Cloud ...

New

Berkley

Senior Data Scientist

Glen Allen, VA

Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes ... Complex query optimization, dbt or similar, working fluently with Spark or Databricks. * Cloud ...

New

Unissant

Senior Data Scientist

Herndon, VA · On-site

$134K - $196K/yr

Expert proficiency in advanced ML and AI: deep learning (TensorFlow, PyTorch, Keras), ensemble methods (XGBoost, Random Forest), Bayesian methods, and multi-objective optimization algorithms.

Fanniemae

Data Science Advisor

Reston, VA · On-site

Experience with data analysis, statistics and modelling, Bayesian statistics, optimization, graph theory, options and derivatives pricing. * Experience with CECL Loss Allowance, Basel Capital Rules ...

KBR

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Develop and implement methods of automation and optimization of data and productsto present to ... Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate ...

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$100K - $124K/yr

Develop and implement methods of automation and optimization of data and products to present to ... Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate ...

KBR, Inc.

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Develop and implement methods of automation and optimization of data and products to present to ... Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate ...

General Atomics

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

... estimation theory, optimization, and linear algebra. * Programming experience in one or more ... Familiarity with Kalman filtering, nonlinear filtering, Bayesian estimation, probabilistic data ...

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Bayesian Optimization information

What is the difference between Bayesian Optimization vs Data Scientist?

AspectBayesian OptimizationData Scientist
Primary FocusOptimizing complex functions and hyperparametersAnalyzing data, building models, deriving insights
Required SkillsStatistics, probability, machine learning, programmingStatistics, programming, data analysis, visualization
Work EnvironmentResearch labs, AI/ML teams, R&D departmentsBusiness, tech companies, consulting firms
Common ToolsPython, R, Bayesian libraries (e.g., GPy, scikit-optimize)Python, R, SQL, visualization tools

Bayesian Optimization is a specialized technique used within machine learning and AI to efficiently tune hyperparameters or optimize functions. Data Scientists often utilize Bayesian Optimization as part of their toolkit but have broader responsibilities, including data analysis, modeling, and reporting. While Bayesian Optimization focuses on optimization tasks, Data Scientists work on understanding and interpreting data to inform business decisions.

What are popular job titles related to Bayesian Optimization jobs in Virginia? For Bayesian Optimization jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bayesian Optimization jobs in Virginia look for? The top searched job categories for Bayesian Optimization jobs in Virginia are:
What cities in Virginia are hiring for Bayesian Optimization jobs? Cities in Virginia with the most Bayesian Optimization job openings:
Bayesian Optimization jobs near you
Data Scientist III

Data Scientist III

General Atomics

Charlottesville, VA • On-site

$98K - $171K/yr

Full-time

Posted 22 days ago

General Atomics rating

9.0

Company rating: 9.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

4th of 61 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

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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