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Bayesian Jobs in Ohio (NOW HIRING)

... Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Experience ...

Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Experience with Cloud Machine ...

Understanding of statistical methods and skills such as Bayesian Network inference, linear and non-linear regression, hierarchical and mixed models/multi-level modeling * Experience with Cloud ...

Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Experience with Cloud Machine ...

... Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling • Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) • ...

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

PhD in computer science, statistics, economics or related fields Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression ...

Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Strong experience with ...

Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Strong experience with ...

$126K - $180K/yr

Bayesian statistics * Desire and ability to learn technical challenging topics * Ability to communicate well with PhD's and leadership * Excel and Word skills The listed salary range for this role is ...

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Bayesian information

See Ohio salary details

$136.7K

$146.3K

$156.8K

How much do bayesian jobs pay per year?

As of Jun 9, 2026, the average yearly pay for bayesian in Ohio is $146,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,688.00 and $150,830.00 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 Ohio? The most popular types of Bayesian jobs in Ohio are:
Infographic showing various Bayesian job openings in Ohio as of June 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $146,259 per year, or $70.3 per hour.

Data scientist(W2)

Prohires

Columbus, OH • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

   INTERVIEW: TELEPHONIC & WENBCAM
  THIS IS ONSITE ON SUNRAY W2-CITIZENEAD/EAD  
ROLE:  DATA SCIENTIST  
OVERALL EXPEREINCE 8-10YRS+  
Duties and Responsibilities: Ability to use advanced analytics methods to extract value from business data. Ability to perform large-scale experimentation and build data-driven models to answer business questions. Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. Determines requirements that will be used to train and evolve deep learning models and algorithms. Influences product teams through presentation of data-based recommendations. Performs other duties as assigned. Basic Qualifications: Master''s degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree or in lieu of a Master''s degree, Bachelor''s degree with a minimum of 3 years’ work experience in analytics or data science Experience with R, RStudio, Python, SAS, SQL, NoSQL Up-to-date knowledge of machine learning and data analytics tools and techniques Knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages Work and/or educational experience with big data analysis tools and techniques Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Financial Services background
 
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