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Bayesian Jobs in Washington, DC (NOW HIRING)

Varsity Tutors

Statistics Graduate Level Tutor

Fairfax, VA · Remote

$18 - $40/hr

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

KBR

Data Engineer

Chantilly, VA

$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 ...

Varsity Tutors

Statistics Graduate Level Tutor

Laurel, MD · Remote

$18 - $40/hr

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

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All JobsBayesian JobsBayesian Jobs in Washington, DC

Bayesian information

See Washington, DC salary details

$160.5K

$171.8K

$184.1K

How much do bayesian jobs pay per year?

As of Aug 7, 2026, the average yearly pay for bayesian in Washington, DC is $171,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $166,418.00 and $177,154.00 per year, depending on experience, location, and employer.

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

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 jobs use Bayesian statistics?

Jobs that use Bayesian statistics include data scientists, statisticians, machine learning engineers, and quantitative analysts. These roles often involve developing probabilistic models, updating beliefs with new data, and using tools like R or Python for analysis. Bayesian methods are common in fields such as finance, healthcare, and research for decision-making and predictive modeling.

What are the key skills and qualifications needed to thrive in a Bayesian role, 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 Washington, DC? The most popular types of Bayesian jobs in Washington, DC are:
What are popular job titles related to Bayesian jobs in Washington, DC? For Bayesian jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Bayesian jobs in Washington, DC look for? The top searched job categories for Bayesian jobs in Washington, DC are:
Bayesian jobs near you
Infographic showing various Bayesian job openings in Washington, DC as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $171,786 per year, or $82.6 per hour.

Senior AI Software Engineer

Que Technology Group

Fort George G Meade, MD • On-site

$135K - $179K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 hours ago

Job description

Que Technology Group, Inc., is seeking a motivated Senior AI Software Engineer to support the exciting Corporate Directory Services mission. Engineer will work closely with mission stakeholders to lead the development of advanced Artificial Intelligence and Machine Learning (AI/ML) solutions, intelligence mission workflows, and emerging analytic capabilities. This role is responsible for designing, developing, prototyping, and operationalizing AI-enabled applications that automate complex intelligence processes, discover emergent intelligence value, and accelerate mission outcomes. The candidate will work across multiple technical domains including software engineering, data science, machine learning, and large language model (LLM) integration to deliver innovative capabilities from proof-of-concept through operational deployment.

Job Responsibilities/Qualifications:

  • Mission Focus: Collaborate closely with customers to drive the rapid development, evaluation, and transition of AI/ML-enabled mission capabilities that enhance operational analysis and intelligence workflows. Leverage emerging technologies, scalable software architectures, and advanced analytics to automate discovery, accelerate insight generation, and deliver production-ready solutions across diverse mission domains. Shape technical strategy and best practices to ensure effective deployment, sustainment, and evolution of AI-enabled mission systems
  • Technical Proficiency: Proficient in current AI/ML technologies such as classification, clustering, collaborative filtering, search, and retrieval using techniques such as but not limited to  deep neutral networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc. Experience in current large language models (LLM) for representative and generative tasks.
  • Qualifications: Bachelor's degree plus 11-years of relevant experience or equivalent. Proficiency with object-oriented languages (JAVA, Python) and experience with Jupyter Notebooks
  • Desirable Skills: Proficiency in approaches to retrieval augmented generation (RAG), model context protocol (MCP) and other recent technologies supporting agentic AI. Foundational knowledge of statistics related to parametric probability distributions, nonparametric probability distributions, Bayesian analysis, and covariance matrices. Proficiency in agentic systems that can automatically carry out mission goals with limited supervision.​

Security Clearance:

  • Active TS/SCI with Polygraph required​

BENEFITS:

  • Competitive salary
  • Company Medical/Dental/Vision plans – Company paid  
  • Short-term Disability, Long-term disability and Life Insurance – Company paid    
  • Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses    
  • Vacation / Personal days granted at 25 days per year   
  • Paid Federal Holidays – 11 days    
  • $5,000 Annual Professional Development Fund plus 40 paid hours if in class    
  • 401K with 6% company match; all contributions are immediately vested by Employee   
  • Employee will be paid a bonus of $10,000 per employee hired based on their referral    
  • Up to 3 paid Code Red days due to customer closure

Que Technology Group, Inc., is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.