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Bayesian Jobs in Virginia (NOW HIRING)

Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...

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

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

Data Engineer with Security Clearance

Chantilly, VA · On-site

$118K - $142K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques) * Experience in analytical tool development, identification, and ...

Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental ...

... Bayesian science/Bayes naive network, Reinforcement Learning (RLHF, PPO, DQN, etc.), Variational auto encoders (VAEs), Retrieval‑Augmented Generation (RAG) with Graph DB and Relational DB ...

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Showing results 1-20

Bayesian information

See Virginia salary details

$145.4K

$155.6K

$166.8K

How much do bayesian jobs pay per year?

As of Jun 21, 2026, the average yearly pay for bayesian in Virginia is $155,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,742.00 and $160,467.00 per year, depending on experience, location, and employer.

What are the typical projects or challenges faced in a Bayesian-focused role?

In a Bayesian role, you’ll often work on projects involving probabilistic modeling, uncertainty quantification, and predictive analytics for real-world decision-making. Common challenges include structuring prior distributions, ensuring computational efficiency for complex models, and clearly explaining Bayesian results to non-technical stakeholders. You might collaborate closely with data engineers, domain experts, and business analysts to refine models and translate findings into actionable recommendations. This role offers the opportunity to tackle diverse analytical problems across industries like healthcare, finance, or tech, supporting ongoing professional growth and learning.

What is a Bayesian job?

A Bayesian job typically involves applying Bayesian statistics, probabilistic modeling, and inference techniques to analyze data and make decisions under uncertainty. Professionals in this field use Bayes' theorem to update beliefs based on new evidence, often working in areas like machine learning, finance, healthcare, and research. Common roles include Bayesian statisticians, data scientists, and researchers who build probabilistic models to improve predictions and decision-making.

What are the key skills and qualifications needed to thrive in the Bayesian position, and why are they important?

To thrive as a Bayesian (typically a Bayesian Data Scientist or Statistician), you need a strong background in probability theory, statistical modeling, and mathematics, often with an advanced degree in statistics, data science, or a related quantitative field. Experience with programming languages such as Python or R, Bayesian analysis libraries (e.g., Stan, PyMC), and familiarity with statistical software are commonly required. Analytical thinking, collaborative teamwork, and the ability to communicate complex results clearly are valuable soft skills in this role. These abilities are essential for designing robust models, interpreting data accurately, and delivering actionable insights to interdisciplinary teams.

What are the most commonly searched types of Bayesian jobs in Virginia? The most popular types of Bayesian jobs in Virginia are:
What are popular job titles related to Bayesian jobs in Virginia? For Bayesian jobs in Virginia, the most frequently searched job titles are:
Senior Data Product Manager with Security Clearance

Senior Data Product Manager with Security Clearance

ECS

Fairfax, VA

$125K - $165K/yr

Other

Posted 20 days ago


Job description

Job Description "Everforth ECS is seeking a Senior Data Product Manager to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax . Please Note: This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative within the U.S. Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP focuses on operational warfighting data and aims to accelerate the deployment of artificial intelligence (AI) on the battlefield. The WDP extends to Unclassified, Secret, and Top Secret environments, and supports collaboration between Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and operational analysts. This role directs enterprise data product strategy for WDP Core Integration, governing the design, operation, and enhancement of automated ingestion pipelines, orchestration workflows, and enclave-specific data transformation services across all security levels. • Directs enterprise data product strategy for War Data Platform (WDP) Core Integration by governing the design, operation, and enhancement of automated ingestion pipelines, orchestration workflows, and enclave-specific data transformation services across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS environments. • Guides engineering teams in constructing scalable data architectures that support medallion-zone storage, cross-domain movement, lineage tracking, and drift detection using platforms such as Databricks, Apache Airflow, AWS Glue, Kafka, and federated data catalog services. • Liaises with Combatant Commands, Joint Staff elements, and federal mission partners to synthesize operational requirements, define data product roadmaps, consumption models, and mission-aligned release schedules. • Prioritizes features that elevate platform reliability, including encryption-at-rest and encryption-in-transit methods, identity and access management workflows, automated compliance controls, and data quality monitoring dashboards. • Leads coordination with Data Operations teams to establish Tier 2 and Tier 3 support criteria, performance thresholds, outage notification mechanisms, and customer-facing documentation. • Drives analysis of alternatives for data tooling modernization by evaluating performance telemetry, usage metrics, workload patterns, and enterprise adoption statistics. • Oversees the creation of troubleshooting utilities, reference architectures, and standardized interfaces used by data producers and consumers across all enclaves. • Produces reports, release notes, operational scorecards, and governance artifacts that increase transparency, accelerate onboarding, and strengthen decision advantage for DoW and interagency stakeholders using War Data Platform (WDP) Core Integration enterprise data products. • Performs other duties as assigned. Required Skills • Current Secret security clearance with the ability to obtain and maintain a Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI).
• 10-12 years of experience in data product management or related enterprise data product roles.
• Scaled Agile Framework (SAFe) Certified SAFe 6 Agilist.
• Proven expertise in designing, building, and operating end-to-end data ingestion pipelines, orchestration workflows, and data transformation services in multi-security-environment cloud platforms.
• Strong ability to translate complex operational requirements from senior DoW stakeholders into actionable data product roadmaps and release plans.
• Demonstrated experience with data governance, lineage tracking, and compliance controls in regulated environments.
• Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution.
• Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management). Desired Skills • Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.
• Direct experience designing, deploying, and managing multi-layered (medallion architecture) data systems and automated pipeline ecosystems
• Familiarity with cross-domain transfer technologies and secure data exchange processes across classified security enclaves
• Experience building data product platforms that integrate federated data catalog services and visualization tooling.
• Proven track record of delivering data products that support AI/ML pipelines and decision-making in the DoW environment.
• Strong analytical skills in evaluating telemetry and usage metrics to drive continuous product improvement.
• Experience with or strong interest in Bayesian statistical frameworks, particularly Bayesian causal inference, to support uncertainty-aware analysis, intervention evaluation, and decision-making in complex operational environments.
• Ability to define product requirements for semantic data access layers that help AI assistants, automated workflows, and agentic systems discover, interpret, and act on trusted enterprise data. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven