... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
... Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Nuclear Engineering Data Scientist
Lynchburg, VA · Hybrid
$86K - $136K/yr
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Nuclear Engineering Data Scientist
Lynchburg, VA · Hybrid
$86K - $136K/yr
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Nuclear Engineering Data Scientist
Lynchburg, VA · Hybrid
$86K - $136K/yr
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Nuclear Engineering Data Scientist
Lynchburg, VA · Hybrid
$86K - $136K/yr
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.
New
Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.
New
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
... Bayesian causal inference methods for reasoning under uncertainty, evaluating intervention effects, and supporting decision-making in complex operational environments. • Expert proficiency in ...
... Bayesian causal inference methods for reasoning under uncertainty, evaluating intervention effects, and supporting decision-making in complex operational environments. • Expert proficiency in ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Implement uncertainty quantification techniques, such as ensembling and Bayesian methods, to ensure robust and reliable predictions in nuclear systems. * Optimize nuclear engineering processes using ...
Data/ML Scientist SME
Falls Church, VA · On-site
... Bayesian causal inference methods for reasoning under uncertainty, evaluating intervention effects, and supporting decision-making in complex operational environments. • Expert proficiency in ...
Data/ML Scientist SME
Falls Church, VA · On-site
... Bayesian causal inference methods for reasoning under uncertainty, evaluating intervention effects, and supporting decision-making in complex operational environments. • Expert proficiency in ...
Bayesian information
See Virginia salary details
$145.4K - $147.3K
7% of jobs
$147.3K - $149.3K
10% of jobs
$151K is the 25th percentile. Wages below this are outliers.
$149.3K - $151.2K
10% of jobs
$151.2K - $153.2K
10% of jobs
$153.2K - $155.1K
10% of jobs
The median wage is $155.9K / yr.
$155.1K - $157.1K
10% of jobs
$157.1K - $159K
10% of jobs
$160.8K is the 75th percentile. Wages above this are outliers.
$159K - $161K
10% of jobs
$161K - $162.9K
10% of jobs
$162.9K - $164.8K
10% of jobs
$164.8K - $166.8K
4% of jobs
$145.4K
$155.6K
$166.8K
How much do bayesian jobs pay per year?
As of Jun 20, 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 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 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 are the most commonly searched types of Bayesian jobs in Virginia? The most popular types of Bayesian jobs in Virginia are:
What are popular job titles related to Bayesian jobs in Virginia? For Bayesian jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bayesian jobs in Virginia look for? The top searched job categories for Bayesian jobs in Virginia are:
Other
Posted 6 days ago
Job description
Data Scientist - MID Location: Springfield, VA TS/SCI REQUIRED Position Responsibilities : * Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. * Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. * Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.
* Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. * Conduct extensive collections and analytic modeling, data processing, Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
About Allen Integrated Solutions
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
11 - 50 Employees
Headquarters location
Stafford, VA, US
Year founded
2015