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Bayesian Modeling Jobs in Washington, DC (NOW HIRING)

Quantitative Risk Modeler

Vienna, VA ยท Hybrid

$55 - $71.25/hr

Excellent understanding of machine learning, statistical modeling, and algorithms Desired: Advanced knowledge of principles of algorithmic, Bayesian, Nash, and other related game theory subfields.

Knowledge of advanced statistical methodologies, including regression, longitudinal analysis, or Bayesian modeling * Experience working in cross-functional teams to push enterprise-level selection ...

Knowledge of advanced statistical methodologies, including regression, longitudinal analysis, or Bayesian modeling * Experience working in cross-functional teams to push enterprise-level selection ...

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Bayesian Modeling information

See Washington, DC salary details

$11

$66

$94

How much do bayesian modeling jobs pay per hour?

As of May 30, 2026, the average hourly pay for bayesian modeling in Washington, DC is $66.50, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $77.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

Lead Engineer - Advanced Data Science for Aerospace Systems

Lead Engineer - Advanced Data Science for Aerospace Systems

North Wind

Arlington, VA โ€ข On-site

$100K - $155.06K/yr

Full-time

Posted 26 days ago


Job description

Join North Wind โ€“ Accelerating Hypersonic Innovation

At North Wind, we are advancing hypersonic technologies through cutting-edge research, system development, and flight testing. Our team drives innovation in high-speed aerodynamics, propulsion systems, and mission-critical components, supporting every phase of hypersonic programsโ€”from R&D to flight testing. If you are passionate about pushing technological boundaries in a dynamic environment, we invite you to join us.

Lead Engineer โ€“ Advanced Data Science for Aerospace Systems

Key technical leadership position that drives the development and adoption of advanced data science methods with artificial intelligence (AI) and machine learning (ML) for aerospace ground and flight test techniques and modeling and simulation (M&S) capabilities across North Wind. Experienced in the creation and application of neural networks for surrogate models and other ML approaches for aerospace domain problems. Practitioner of computational fluid dynamics (CFD) and / or finite element analysis (FEA) codes. Skilled communicator who can operate as an individual contributor and a leader while supporting engineers to learn new AI/ML methods.

Responsibilities:

Development of AI/ML Tools for Aerospace Projects: Leads technical efforts to apply machine learning, artificial intelligence, and advanced data science methods to develop new ground and flight test techniques and M&S capabilities and workflows, with specific application for a new wind tunnel facility complex. Performs CFD and / or FEA and develops scalable model training processes and algorithms to build fast-running surrogate models of complex physical processes. Supports the development and implementation of AI/ML for test facility digital twins and integration of M&S workflows for multi-discipline design, analysis, and optimization and uncertainty quantification. Supports integration of wind tunnel facility data collection and use of AI for predictive maintenance.

Advanced Data Science Strategy: Force multiplier who leads North Windโ€™s ML adoption, including helping engineering leadership select and integrate new tools and processes leveraging advanced data science methods. Strategically recommends projects across North Wind where AI and ML will strengthen technical execution. Creates and leads training sessions with engineering staff to support AI/ML up-skilling. Builds a cadre of ML practitioners across North Wind. Recommends high performance computing hardware architectures to support North Wind AI/ML vision and strategy. Engages in technical forums, conferences, and working groups, with specific focus on ML applied to high-speed aerospace systems.

Team Management & Collaboration: Creates and leads highly functioning teams to develop AI/ML solutions and products. Effectively communicates the value proposition of advanced data science methods to grow team-wide understanding and interest. Fosters a collaborative and inclusive work environment.

Preferred Education / Experience:

  • Advanced degree in Mechanical Engineering, Aerospace Engineering, or a related discipline
  • Minimum 7-10 years of experience in engineering projects pertinent to the responsibilities listed above
  • A combination of education and experience equivalent to above

Preferred Knowledge / Ability:

  • Strong knowledge of AI/ML tools, model training software, and technologies
  • Skilled in building data pipelines and ML models using modern software libraries, including applications for deep learning and Bayesian modeling
  • Proficient in aerospace industry standard CFD and / or FEA codes and tools
  • Experienced in uncertainty quantification in the aerospace domain
  • Deep understanding of engineering principles, including mechanical, electromechanical, and aerospace systems design, test, and evaluation
  • Proficiency in interpreting engineering plans, technical drawings, and specifications
  • Ability to define complex problems, analyze data, interpret abstract concepts, and develop effective solutions
  • Demonstrated leadership of cross-functional teams from project conception to completion; guiding teams through planning, execution, and delivery phases
  • Skilled in project management, prioritization, budgeting, and delivering results on time
  • Excellent written and verbal communication skills, with the ability to tailor messaging to technical and non-technical audiences
  • Proficient in Microsoft Office and engineering-related software tools
  • Active U.S. security clearance strongly preferred; candidates must be U.S. citizens and eligible to obtain and maintain a clearance

Additional Preferred Qualifications:

  • Experience with aerospace test systems and / or vehicle development programs
  • Background in early-stage research and development, product development methodologies, and innovation strategy
  • Familiarity with Department of Defense (DoD) acquisition processes, R&D funding, and technology development programs


North Wind Group logo

About North Wind Group

Sourced by ZipRecruiter

North Wind Group is a renowned engineering, construction, environmental, and technical services firm based in Idaho Falls, ID, United States. This U.S owned firm, with its robust portfolio, offers a wide range of services including, but not limited to, infrastructure, waste management, remediation, environmental, and construction services. North Wind Group was established in 1997 and since then, it has expanded its operations across the United States, becoming a national provider of high-quality, cost-effective technical and engineering solutions. The company's core values express its commitment to safety, integrity, customer service, innovation, and teamwork, which are all critical to its mission of delivering innovative and sustainable solutions aimed to protect the environment and improve the lives of communities.

Industry

Government relations and lobbying services

Company size

501 - 1,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1997

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