... Bayesian statistics), Computer Science or related STEM discipline from an accredited college or university. (In lieu of a bachelor's degree, 3 additional years of machine learning experience on ...
... Bayesian statistics), Computer Science or related STEM discipline from an accredited college or university. (In lieu of a bachelor's degree, 3 additional years of machine learning experience on ...
Experience with differential privacy, causal inference, or statistical experimentation (A/B testing, Bayesian experimentation). Familiarity with distributed data platforms and web-scale pipelines.
Experience with differential privacy, causal inference, or statistical experimentation (A/B testing, Bayesian experimentation). Familiarity with distributed data platforms and web-scale pipelines.
Volatility Trader
Chicago, IL · On-site
Strong practical foundation in options theory and Bayesian statistics/probability. * Strong analytical judgment under uncertainty; able to operate decisively under constraints. * Precise technical ...
Volatility Trader
Chicago, IL · On-site
Strong practical foundation in options theory and Bayesian statistics/probability. * Strong analytical judgment under uncertainty; able to operate decisively under constraints. * Precise technical ...
Computational Bayesian Statistics and Applied Mathematics Expert Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging ...
Quick apply
Computational Bayesian Statistics and Applied Mathematics Expert Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging ...
Preference is given to those whose research expertise and interests lie in one or more of the areas of statistics and deep learning, Bayesian statistics, image and textual mining, health data ...
Preference is given to those whose research expertise and interests lie in one or more of the areas of statistics and deep learning, Bayesian statistics, image and textual mining, health data ...
Interest or experience in Bayesian statistics, spatial modeling, state-space modeling, or data-driven modeling is beneficial but not required. Some experience in computer programming is beneficial.
Interest or experience in Bayesian statistics, spatial modeling, state-space modeling, or data-driven modeling is beneficial but not required. Some experience in computer programming is beneficial.
Senior Statistical Analyst
Birmingham, AL · On-site
$81K - $100K/yr
Background in Bayesian statistics or causal inference methods What Success Looks Like First 90 Days * Audit current instrumentation and data model; document gaps and prioritize remediation * Draft ...
Senior Statistical Analyst
Birmingham, AL · On-site
$81K - $100K/yr
Background in Bayesian statistics or causal inference methods What Success Looks Like First 90 Days * Audit current instrumentation and data model; document gaps and prioritize remediation * Draft ...
Skilled in research design and statistical methods, such as Generalized Linear Models, Survival analysis, Network Meta-Analysis, and Bayesian statistics and are proficient in R and GitLab (experience ...
Skilled in research design and statistical methods, such as Generalized Linear Models, Survival analysis, Network Meta-Analysis, and Bayesian statistics and are proficient in R and GitLab (experience ...
Preferred : • Practical experience with Bayesian statistics, hierarchical modelling, probabilistic programming (e.g., PyMC, Stan) and uncertainty quantification • Experience designing evaluation ...
Preferred : • Practical experience with Bayesian statistics, hierarchical modelling, probabilistic programming (e.g., PyMC, Stan) and uncertainty quantification • Experience designing evaluation ...
Knowledge of Bayesian statistics from theory to computation is a plus. Date Posted 22-Jun-2026 Closing Date 09-Jul-2026 Our mission is to build an inclusive environment where equal employment ...
Knowledge of Bayesian statistics from theory to computation is a plus. Date Posted 22-Jun-2026 Closing Date 09-Jul-2026 Our mission is to build an inclusive environment where equal employment ...
Knowledge of Bayesian statistics from theory to computation is a plus. Date Posted 22-Jun-2026 Closing Date 09-Jul-2026 Our mission is to build an inclusive environment where equal employment ...
Knowledge of Bayesian statistics from theory to computation is a plus. Date Posted 22-Jun-2026 Closing Date 09-Jul-2026 Our mission is to build an inclusive environment where equal employment ...
Knowledge of Bayesian statistics from theory to computation is a plus. Date Posted 22-Jun-2026 Closing Date 09-Jul-2026 Our mission is to build an inclusive environment where equal employment ...
Knowledge of Bayesian statistics from theory to computation is a plus. Date Posted 22-Jun-2026 Closing Date 09-Jul-2026 Our mission is to build an inclusive environment where equal employment ...
Experience or capabilities in subject areas such as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control ...
Experience or capabilities in subject areas such as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control ...
Experience or capabilities in subject areas such as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control ...
Experience or capabilities in subject areas such as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control ...
Experience or capabilities in subject areas such as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control ...
Experience or capabilities in subject areas such as statistical data mining, analysis of reliability and life data, experimental design, Bayesian statistics, machine learning, or quality control ...
... Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer ...
... Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer ...
Quantitative Geneticist
South San Francisco, CA · On-site +1
Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. * Familiarity with decision theory and ...
Quantitative Geneticist
South San Francisco, CA · On-site +1
Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. * Familiarity with decision theory and ...
... Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving) • Background applying statistics to engineering or physics-based systems • ...
... Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving) • Background applying statistics to engineering or physics-based systems • ...
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 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 ...
6 months Internship in Strategy & Data Science | New York
New York, NY · On-site
$2.8K/mo
... statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics. - Help develop dashboards, charts, and visualizations to communicate insights ...
6 months Internship in Strategy & Data Science | New York
New York, NY · On-site
$2.8K/mo
... statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics. - Help develop dashboards, charts, and visualizations to communicate insights ...
Bayesian Statistics information
See salary details
$68K - $71.6K
14% of jobs
$73.6K is the 25th percentile. Wages below this are outliers.
$71.6K - $75.2K
19% of jobs
The median wage is $78.3K / yr.
$75.2K - $78.8K
20% of jobs
$78.8K - $82.4K
2% of jobs
$82.4K - $86K
0% of jobs
$86K - $89.5K
0% of jobs
$89.5K - $93.1K
0% of jobs
$93.1K - $96.7K
0% of jobs
$96.7K - $100.3K
0% of jobs
$100.3K - $103.9K
0% of jobs
$105.5K is the 75th percentile. Wages above this are outliers.
$103.9K - $107.5K
45% of jobs
$68K
$90.1K
$107.5K
How much do bayesian statistics jobs pay per year?
As of Jul 10, 2026, the average yearly pay for bayesian statistics in the United States is $90,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $106,500.00 per year, depending on experience, location, and employer.
What does a typical day look like for someone working in Bayesian Statistics?
A typical day for a professional specializing in Bayesian Statistics often involves designing and running statistical models, analyzing datasets using Bayesian methods, and programming in tools like R or Python. You may collaborate with data scientists, researchers, and subject matter experts to define problems and interpret statistical results. Responsibilities can also include presenting findings to non-technical stakeholders, developing new modeling techniques, and staying updated with advances in Bayesian methodology. The role offers a dynamic mix of technical analysis, problem-solving, and teamwork, making each day intellectually engaging.
What type of statistician makes the most money?
Senior statisticians with expertise in Bayesian methods, data science, or machine learning tend to earn higher salaries, especially in industries like finance, technology, and pharmaceuticals. Advanced skills, certifications, and experience with programming tools such as R or Python can also increase earning potential.
What industries use Bayesian statistics?
Bayesian statistics is widely used across industries such as healthcare, finance, marketing, and technology for data analysis, predictive modeling, and decision-making. Professionals in these fields often utilize statistical software like R or Python and require strong analytical skills to interpret probabilistic models effectively.
What is a Bayesian Statistics job?
A Bayesian Statistics job involves using Bayesian methods to analyze data, update probabilities, and make inferences based on prior knowledge. Professionals in this field apply Bayesian techniques in areas like machine learning, finance, healthcare, and scientific research. They typically work with probabilistic models, statistical software, and programming languages such as Python or R. These roles require strong mathematical skills and are often found in academia, industry, and government research.
What is a Bayesian statistician?
A Bayesian statistician is a professional who applies Bayesian methods to analyze data, update probabilities, and make inferences. They often use statistical software and require strong mathematical skills to develop models that incorporate prior knowledge and evidence.
What are the key skills and qualifications needed to thrive in the Bayesian Statistics position, and why are they important?
To thrive in Bayesian Statistics, you need a deep understanding of probability theory, statistical modeling, and strong programming skills, usually supported by an advanced degree in statistics, mathematics, or a related field. Familiarity with technical tools like R, Python, Stan, and software for Bayesian inference, as well as relevant certifications, is often required. Analytical thinking, attention to detail, and the ability to clearly communicate complex concepts are essential soft skills. These skills and qualities ensure accurate and interpretable statistical analyses, effective collaboration with cross-functional teams, and reliable data-driven decision making.
What can you do with Bayesian statistics?
A professional in Bayesian statistics applies probabilistic models to analyze data, make predictions, and update beliefs based on new information. This skill is used in fields like data science, machine learning, and research to improve decision-making and model uncertainty. Familiarity with statistical software and programming languages such as R or Python is often required.
More about Bayesian Statistics jobs
What are the most commonly searched types of Bayesian Statistics jobs? The most popular types of Bayesian Statistics jobs are:
What states have the most Bayesian Statistics jobs? States with the most job openings for Bayesian Statistics jobs include:
What job categories do people searching Bayesian Statistics jobs look for? The top searched job categories for Bayesian Statistics jobs are:
Full-time
Re-posted 26 days ago
Peraton rating
8.2
Based on 53 frontline employees who took The Breakroom Quiz
47th of 208 rated it services
Job description
Job Summary:
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. The role involves designing, developing, testing, and deploying AI/ML algorithms to tackle complex business challenges and mission requirements, while also maintaining a strong understanding of data governance principles to support scalable and efficient solutions.
Responsibilities:
• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• Experience in working with various ML libraries and packages.
• Run standard test and evaluation protocols.
• Provide system integration oversight.
Qualifications:
Required:
• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• Experience in working with various ML libraries and packages.
• Run standard test and evaluation protocols.
• Provide system integration oversight.
• Minimum of 2 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity.
• Bachelor of Science degree in Advanced mathematics (e.g., calculus, linear algebra, Bayesian statistics), Computer Science or related STEM discipline from an accredited college or university. (In lieu of a bachelor's degree, 3 additional years of machine learning experience on similar projects may be substituted).
• An active TS/SCI with Poly is required.
• Experience training, retraining, deploying, scheduling, monitoring, and improving models based on iterative user and system feedback is required to support designing and creating scalable solutions for optimal performance.
Preferred:
• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.
Company:
Peraton Fearlessly solving the toughest national security challenges. Founded in 1992, the company is headquartered in Woodbridge, USA, with a team of 10001+ employees. The company is currently Late Stage.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. The role involves designing, developing, testing, and deploying AI/ML algorithms to tackle complex business challenges and mission requirements, while also maintaining a strong understanding of data governance principles to support scalable and efficient solutions.
Responsibilities:
• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• Experience in working with various ML libraries and packages.
• Run standard test and evaluation protocols.
• Provide system integration oversight.
Qualifications:
Required:
• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• Experience in working with various ML libraries and packages.
• Run standard test and evaluation protocols.
• Provide system integration oversight.
• Minimum of 2 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity.
• Bachelor of Science degree in Advanced mathematics (e.g., calculus, linear algebra, Bayesian statistics), Computer Science or related STEM discipline from an accredited college or university. (In lieu of a bachelor's degree, 3 additional years of machine learning experience on similar projects may be substituted).
• An active TS/SCI with Poly is required.
• Experience training, retraining, deploying, scheduling, monitoring, and improving models based on iterative user and system feedback is required to support designing and creating scalable solutions for optimal performance.
Preferred:
• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.
Company:
Peraton Fearlessly solving the toughest national security challenges. Founded in 1992, the company is headquartered in Woodbridge, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Peraton
Sourced by ZipRecruiter
At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Herndon, VA, US
Year founded
2017