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Bayesian Jobs in Washington (NOW HIRING)

AI Engineer

MD · On-site

$80K - $160K/yr

Develop algorithms such as Bayesian, coordinate descent, gradient descent, and evolutionary * Utilizes big data computation and storage models to create prototypes and data sets * Develop ...

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

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

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Bayesian information

See Washington salary details

$160.5K

$171.8K

$184.1K

How much do bayesian jobs pay per year?

As of Jul 23, 2026, the average yearly pay for bayesian in Washington 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-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 Washington? The most popular types of Bayesian jobs in Washington are:
Infographic showing various Bayesian job openings in Washington as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $171,786 per year, or $82.6 per hour.
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1

Artificial Intelligence/Machine Learning (AI/ML) Engineer 1

Peraton

Laurel, MD • On-site

Full-time

Posted 9 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

41st of 213 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.

What Peraton employees say

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Benefits

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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