... Bayesian optimization and active learning, accounting for operational variabilities and constraints. • Select and maintain surrogate models for acquisition, using model uncertainty to drive the ...
... Bayesian optimization and active learning, accounting for operational variabilities and constraints. • Select and maintain surrogate models for acquisition, using model uncertainty to drive the ...
Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints. * Select and maintain surrogate models ...
Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints. * Select and maintain surrogate models ...
Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints. * Select and maintain surrogate models ...
Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints. * Select and maintain surrogate models ...
Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints. * Select and maintain surrogate models ...
Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints. * Select and maintain surrogate models ...
... Bayesian analysis. * Provides information and technical assistance to agency staff on research and ... Develops social sciences statistical and conceptual models for social science research and ...
... Bayesian analysis. * Provides information and technical assistance to agency staff on research and ... Develops social sciences statistical and conceptual models for social science research and ...
Data Scientist
Columbus, OH · On-site
Preferred Skills - Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference. - Experience with big data tools, both structured and unstructured data sources, and ...
Data Scientist
Columbus, OH · On-site
Preferred Skills - Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference. - Experience with big data tools, both structured and unstructured data sources, and ...
Senior Data Scientist - AI
Columbus, OH · On-site +1
... as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background Exempt Status: (Yes = not eligible for overtime pay ...
Senior Data Scientist - AI
Columbus, OH · On-site +1
... as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background Exempt Status: (Yes = not eligible for overtime pay ...
... as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background Exempt Status: (Yes = not eligible for overtime pay ...
... as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background Exempt Status: (Yes = not eligible for overtime pay ...
Senior Data Scientist - AI
Columbus, OH · On-site +1
... as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background Exempt Status: (Yes = not eligible for overtime pay ...
Senior Data Scientist - AI
Columbus, OH · On-site +1
... as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background Exempt Status: (Yes = not eligible for overtime pay ...
Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Financial Services ...
Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Financial Services ...
Senior Data Scientist - AI
Columbus, OH · On-site +1
Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Financial Services ...
Senior Data Scientist - AI
Columbus, OH · On-site +1
Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling * Financial Services ...
Statistics Graduate Level Tutor
Columbus, OH · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Statistics Graduate Level Tutor
Columbus, OH · Remote
$18 - $40/hr
... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while ...
Experience with cheminformatics, chemistry foundation models and physics-informed modeling. * Familiarity with active learning, Bayesian optimization, and related techniques. * Knowledge of ML ...
Experience with cheminformatics, chemistry foundation models and physics-informed modeling. * Familiarity with active learning, Bayesian optimization, and related techniques. * Knowledge of ML ...
Experience with cheminformatics, chemistry foundation models and physics-informed modeling. * Familiarity with active learning, Bayesian optimization, and related techniques. * Knowledge of ML ...
Experience with cheminformatics, chemistry foundation models and physics-informed modeling. * Familiarity with active learning, Bayesian optimization, and related techniques. * Knowledge of ML ...
... Equation Modeling, and conditional likelihood approaches such as Bayesian analysis; Conducting data interpolation for estimation and inference; Performing heterogeneous data management and ...
... Equation Modeling, and conditional likelihood approaches such as Bayesian analysis; Conducting data interpolation for estimation and inference; Performing heterogeneous data management and ...
Experience with cheminformatics, chemistry foundation models and physics-informed modeling. * Familiarity with active learning, Bayesian optimization, and related techniques. * Knowledge of ML ...
Experience with cheminformatics, chemistry foundation models and physics-informed modeling. * Familiarity with active learning, Bayesian optimization, and related techniques. * Knowledge of ML ...
... Equation Modeling, and conditional likelihood approaches such as Bayesian analysis; Conducting data interpolation for estimation and inference; Performing heterogeneous data management and ...
... Equation Modeling, and conditional likelihood approaches such as Bayesian analysis; Conducting data interpolation for estimation and inference; Performing heterogeneous data management and ...
Data Scientist - w2
Columbus, OH · On-site
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 ...
Quick apply
Data Scientist - w2
Columbus, OH · On-site
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 Modeling information
See salary details
$10.34 - $16.96
4% of jobs
$16.96 - $23.58
1% of jobs
$23.58 - $30.20
2% of jobs
$30.20 - $36.82
0% of jobs
$36.82 - $43.44
3% of jobs
$43.44 - $50.07
8% of jobs
$52.45 is the 25th percentile. Wages below this are outliers.
$50.07 - $56.69
17% of jobs
The median wage is $60.57 / hr.
$56.69 - $63.31
24% of jobs
$67.60 is the 75th percentile. Wages above this are outliers.
$63.31 - $69.93
23% of jobs
$69.93 - $76.55
12% of jobs
$76.55 - $83.17
5% of jobs
$10
$58
$83
How much do bayesian modeling jobs pay per hour?
As of Jul 10, 2026, the average hourly pay for bayesian modeling in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.
What are popular job titles related to Bayesian Modeling jobs? For Bayesian Modeling jobs, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs look for? The top searched job categories for Bayesian Modeling jobs are:
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Job description
Job Summary:
Hexion Inc. is a company that pushes boundaries and creates impactful solutions through science. They are seeking an Applied ML Scientist to lead optimization and active-learning campaigns, collaborating with R&D and manufacturing to enhance processes and drive innovation.
Responsibilities:
• Lead the design and execution of optimization and active-learning campaigns across chemistry, formulation, and process development.
• Collaborate with R&D and manufacturing on framing optimization problems with design spaces, decision variables, objectives, and hard and soft constraints.
• Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints.
• Select and maintain surrogate models for acquisition, using model uncertainty to drive the search and respecting each model's domain of validity.
• Drive closed-loop optimization that connects surrogate models to experimentation, with emphasis on decision quality, exploration versus exploitation, and actionable recommendations.
• Partner with ML engineers, software engineers, and process engineers to deploy and monitor optimization systems.
• Explore and adopt emerging ML methods, including LLM and agentic approaches, to advance optimization.
• Communicate methods, results, and their limitations clearly to technical and non-technical audiences.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field, with substantial relevant experience in ML modeling or optimization experience for chemistry, formulation, process, or manufacturing problems.
• 7+ years experience.
• Demonstrated expertise in Bayesian optimization and Gaussian processes, including kernels, acquisition functions, and batch, multi-objective, and constrained settings.
• Experience designing and running experiment campaigns or closed-loop optimization.
• Experience in applied statistics and uncertainty quantification, with emphasis on calibrated posteriors that drive acquisition.
• Strong Python skills and experience with mainstream Python-based ML and Bayesian optimization frameworks and tools.
• Active use of AI-assisted coding and other AI tools in daily work, with familiarity with emerging ML methods including LLM and agentic approaches.
• Strong communication, collaboration, and stakeholder management skills for working with R&D, manufacturing, and business teams.
Preferred:
• Master's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field.
• Experience with active learning and physics-informed approaches for optimization in chemical synthesis, formulation, or process development.
• Experience working with manufacturing, process, quality, or plant data, including issues such as batch-to-batch variability, raw-material variability, model drift, and changing operating conditions.
• Familiar with ML engineering core tasks and techniques, such as data and optimization pipelines, model deployment, and MLOps.
• Knowledge of chemistry ML core areas such as cheminformatics, molecular representation, predictive modeling, and chemistry foundation models.
Company:
Based in Columbus, Ohio, Hexion Inc. is a leading global producer of adhesives and performance materials. Founded in , the company is headquartered in Columbus, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Hexion Inc. is a company that pushes boundaries and creates impactful solutions through science. They are seeking an Applied ML Scientist to lead optimization and active-learning campaigns, collaborating with R&D and manufacturing to enhance processes and drive innovation.
Responsibilities:
• Lead the design and execution of optimization and active-learning campaigns across chemistry, formulation, and process development.
• Collaborate with R&D and manufacturing on framing optimization problems with design spaces, decision variables, objectives, and hard and soft constraints.
• Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints.
• Select and maintain surrogate models for acquisition, using model uncertainty to drive the search and respecting each model's domain of validity.
• Drive closed-loop optimization that connects surrogate models to experimentation, with emphasis on decision quality, exploration versus exploitation, and actionable recommendations.
• Partner with ML engineers, software engineers, and process engineers to deploy and monitor optimization systems.
• Explore and adopt emerging ML methods, including LLM and agentic approaches, to advance optimization.
• Communicate methods, results, and their limitations clearly to technical and non-technical audiences.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field, with substantial relevant experience in ML modeling or optimization experience for chemistry, formulation, process, or manufacturing problems.
• 7+ years experience.
• Demonstrated expertise in Bayesian optimization and Gaussian processes, including kernels, acquisition functions, and batch, multi-objective, and constrained settings.
• Experience designing and running experiment campaigns or closed-loop optimization.
• Experience in applied statistics and uncertainty quantification, with emphasis on calibrated posteriors that drive acquisition.
• Strong Python skills and experience with mainstream Python-based ML and Bayesian optimization frameworks and tools.
• Active use of AI-assisted coding and other AI tools in daily work, with familiarity with emerging ML methods including LLM and agentic approaches.
• Strong communication, collaboration, and stakeholder management skills for working with R&D, manufacturing, and business teams.
Preferred:
• Master's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field.
• Experience with active learning and physics-informed approaches for optimization in chemical synthesis, formulation, or process development.
• Experience working with manufacturing, process, quality, or plant data, including issues such as batch-to-batch variability, raw-material variability, model drift, and changing operating conditions.
• Familiar with ML engineering core tasks and techniques, such as data and optimization pipelines, model deployment, and MLOps.
• Knowledge of chemistry ML core areas such as cheminformatics, molecular representation, predictive modeling, and chemistry foundation models.
Company:
Based in Columbus, Ohio, Hexion Inc. is a leading global producer of adhesives and performance materials. Founded in , the company is headquartered in Columbus, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Hexion
Sourced by ZipRecruiter
Industry
Chemical manufacturing
Company size
10,000+ Employees
Headquarters location
Columbus, OH, US
Year founded
1899