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Postdoctoral In Bayesian Statistics Jobs in Ashburn, VA

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... Bayesian Statistics, multivariate analysis, machine learning techniques) • Experience in analytical tool development, identification, and integration • Master's degree in an engineering or ...

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

$100K - $124K/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

$100K - $124K/yr

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

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly ... Experience with Bayesian modeling and / or supporting the design and implementation of complex ...

Statistician

Washington, DC · On-site

$100K - $120K/yr

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly ... Experience with Bayesian modeling and / or supporting the design and implementation of complex ...

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly ... Experience with Bayesian modeling and / or supporting the design and implementation of complex ...

Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi-experimentation such as synthetic control, diff-in-diff, meta-analyses), and/or bayesian ...

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Postdoctoral In Bayesian Statistics information

See Ashburn, VA salary details

$25.6K

$60.4K

$85.4K

How much do postdoctoral in bayesian statistics jobs pay per year?

As of Jul 28, 2026, the average yearly pay for postdoctoral in bayesian statistics in Ashburn, VA is $60,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $68,000.00 per year, depending on experience, location, and employer.

What is a Postdoctoral position in Bayesian Statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Ashburn, VA? For Postdoctoral In Bayesian Statistics jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Ashburn, VA look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Postdoctoral In Bayesian Statistics jobs? Cities near Ashburn, VA with the most Postdoctoral In Bayesian Statistics job openings:
Infographic showing various Postdoctoral In Bayesian Statistics job openings in Ashburn, VA as of July 2026, with employment types broken down into 7% Locum Tenens, 37% As Needed, 17% Full Time, 3% Part Time, 22% Temporary, and 14% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $60,356 per year, or $29 per hour.
Data Engineer

Data Engineer

KBR Careers

Chantilly, VA • On-site

$118K - $142K/yr

Full-time

Posted 19 days ago


Job description

Job Summary:
KBR is seeking a Data Engineer to support one of their government customers in Reston, Virginia. The role involves utilizing a diverse range of data-focused skills for complex problem solving and data analysis to enable operations.
Responsibilities:
• Develop and implement methods of automation and optimization of data and products to present to upper management
• Demonstrate understanding of statistical analysis such as regression, anomaly detection and clustering
• Demonstrate effective communication skills to relay data science activities, technical findings, and data products for both technical and non-technical customers
• Ability to combine a diverse set of data sources containing multiple forms of information including, but not limited to, Open Source, Publicly Available Information (PAI), Commercially Available Information (CAI), and intelligence records to provide technical information to produce data packages
• Ability to elicit and define system requirements, track progress against defined milestones to ensure completion, and evaluate test results to validate system performance and acceptance criteria.
• Demonstrated ability to design, develop, and maintain software solutions, including writing production-quality code, managing version-controlled repositories, and writing technical documentation.
Qualifications:
Required:
• Develop and implement methods of automation and optimization of data and products to present to upper management
• Demonstrate understanding of statistical analysis such as regression, anomaly detection and clustering
• Demonstrate effective communication skills to relay data science activities, technical findings, and data products for both technical and non-technical customers
• Ability to combine a diverse set of data sources containing multiple forms of information including, but not limited to, Open Source, Publicly Available Information (PAI), Commercially Available Information (CAI), and intelligence records to provide technical information to produce data packages
• Ability to elicit and define system requirements, track progress against defined milestones to ensure completion, and evaluate test results to validate system performance and acceptance criteria.
• Demonstrated ability to design, develop, and maintain software solutions, including writing production-quality code, managing version-controlled repositories, and writing technical documentation.
• Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics
• 5+ years of progressive, relevant work experience.
• Active TS/SCI security clearance w/ Poly
Preferred:
• Hands-on experience leveraging modern data analysis and engineering tools (e.g. Python, Excel, AWS) to process, analyze, and visualize data, enabling efficient insight generation and decision support.
• Knowledge of National Intelligence Agencies and Department of Defense elements
• Familiarity with the space domain, including orbital mechanics, satellite systems, space-based sensors and associated operational concepts.
• Familiarity with Agile processes.
• Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques)
• Experience in analytical tool development, identification, and integration
• Master's degree in an engineering or science related field
Company:
At KBR, we deliver science, technology and engineering solutions that are helping governments and companies around the world take on the great challenges of our time. Founded in 1919, the company is headquartered in Houston, TX, US, , with a team of 10001+ employees. The company is currently Late Stage.