1

Bayesian Jobs in Virginia (NOW HIRING)

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 ...

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

$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 ...

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

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

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 ...

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

Data Scientist

Arlington, VA · On-site

$93K - $140K/yr

Demonstrated knowledge of or implementation experience in data science, for example, natural language processing, machine learning, Bayesian thinking, or advanced mathematics. * Knowledge of Federal ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference * Snowflake, Matillion, dbt, Pandas, Spark, Airflow * Cloud: Google Cloud (preferred), AWS, or ...

... and Bayesian frameworks A solid track record of publications Appointment Type Restricted Salary Information Commensuate with experience Review Date 2/19/25 Additional Information The successful ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference * Snowflake, Matillion, dbt, Pandas, Spark, Airflow * Cloud: Google Cloud (preferred), AWS, or ...

next page

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 Jul 22, 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 jobs pay 200,000 a year in the USA?

A Bayesian analyst or data scientist with advanced skills in statistical modeling and machine learning can earn around $200,000 annually, especially with experience and in high-demand industries like finance or tech. Senior roles in data science, machine learning engineering, and quantitative analysis often reach or exceed this salary level. Certifications in data analysis and proficiency with tools like Python, R, or SQL can enhance earning potential.

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 jobs make $1,000,000 a year?

In the field of Bayesian analysis, high-earning roles such as senior data scientists, quantitative researchers, or chief data officers can reach or exceed $1,000,000 annually, especially in finance, technology, or consulting firms. These positions typically require advanced statistical skills, extensive experience, and often involve leadership responsibilities or equity compensation.

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 does it mean to be Bayesian?

A Bayesian is a professional who applies Bayesian methods, which involve updating probabilities based on new data, often using statistical software and programming skills. They work in fields like data analysis, machine learning, or research, emphasizing probabilistic reasoning and statistical inference.

What jobs pay $500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs. These positions typically require advanced education, extensive experience, and often involve high levels of responsibility, performance-based bonuses, or profit sharing. In some cases, highly skilled professionals in technology, law, or finance can also achieve this level of compensation.
What are the most commonly searched types of Bayesian jobs in Virginia? The most popular types of Bayesian jobs in Virginia are:
Infographic showing various Bayesian job openings in Virginia as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $155,605 per year, or $74.8 per hour.
Data Engineer

Data Engineer

KBR

Chantilly, VA • On-site

$100K - $124K/yr

Full-time

Re-posted 12 days ago


KBR rating

8.3

Company rating: 8.3 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

105th of 375 rated engineering


Job description

Title:

Data Engineer

KBR is seeking a Data Engineer to support one of our government customers in Reston, Virginia. The Data Engineer utilizes a diverse range of data-focused skills, experience, deep technical and analytical problem solving, and team-centered solutioning for complex problems to satisfy priority information enabling operations. This position requires strong attributes for problem solving, data analysis, troubleshooting, analytical thinking, and experimentation, often under time sensitive decisions.

Required Qualifications:

  • Develop and implement methods of automation and optimization of data and productsto 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.

Preferred Qualifications:

  • 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 anengineering or science related field

Basic Compensation:

$100,000 to $124,400

The offered rate will be based on the selected candidate's knowledge, skills, abilities, and/or experience and in consideration of internal parity.

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation. Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance

Security Requirements: Active TS/SCI security clearance w/ Poly

Travel: CONUS and OCONUS travel may be required.(10%)

Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.


What KBR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


KBR logo

About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998