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Bayesian Modeling Jobs in Lemont, IL (NOW HIRING)

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Bayesian Modeling information

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$59

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How much do bayesian modeling jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for bayesian modeling in Lemont, IL is $59.19, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $68.80 per hour, depending on experience, location, and employer.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.

How does a Bayesian modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

What are the key skills and qualifications needed to thrive as a Bayesian modeler, and why are they important?

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

What job categories do people searching Bayesian Modeling jobs in Lemont, IL look for?

The top searched job categories for Bayesian Modeling jobs in Lemont, IL are:

What cities near Lemont, IL are hiring for Bayesian Modeling jobs?

Cities near Lemont, IL with the most Bayesian Modeling job openings:


Key responsibilities

  • Import, clean, transform, validate, and analyze data sets to support research projects.

  • Develop programs and scripts for data transformation, integration, or reduction, and support the presentation of data through charts, graphs, and tables.

  • Assist in preparing sample designs, obtaining and harmonizing secondary data sources, and maintaining databases and data systems.


NORC at the University of Chicago rating

6.9

Company rating: 6.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

67th of 75 rated research


Job description

NORC at the University of Chicago is seeking a Data Analyst to support a diverse range of research projects.  At NORC, Data Analysts work with our Statisticians and Data Scientists and perform tasks such as importing, cleaning, transforming, or validating data. They may also support the presentation of data by developing charts, graphs, and tables. In addition, the Data Analyst may assist in preparing sample designs for primary data collection, obtaining and harmonizing secondary data sources, preparing data files for delivery by determining record weights, identify, analyze, and interpret patterns in data sets and maintain databases/data systems, dictionaries, etc. The Data Analyst is expected to work collaboratively in a team environment.

As a condition of employment, all NORC employees and contractors – including those working remotely – must be fully vaccinated (as defined by current CDC guidance) against COVID-19.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position

DEPARTMENT: Statistics and Data Science

The Statistics and Data Science department conducts a wide range of statistical projects, engaging in statistical analysis, modeling, data linkage, matching, disclosure control, small area estimation, and Bayesian analysis, to support all aspects of social science research. NORC statisticians and data scientists design and implement rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. They also employ advanced techniques for analyzing and interpreting data. The department collaborates with the Methodology and Quantitative Social Sciences department, all NORC research departments, and the Academic Research Centers in addition to conducting research in its own field.

RESPONSIBILITIES:

  • Developing programs and scripts for data transformation, integration, or reduction;
  • Enhancing previously developed in-house applications such as those for selecting samples;
  • Utilize publicly available datasets to obtain benchmark values;
  • Perform various types of analysis involving multiple data sets

REQUIRED SKILLS:

  • Bachelor’s degree in one of the following fields: statistics, math, or data science.
  • 0-2 years’ experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical and quantitative modeling, melding analytics with programming, data mining, clustering and segmentation
  • Strong foundation in areas of statistics, mathematics, and data science. Coding skills in languages such as SAS, R, Stata, or Python preferred. Additional expertise in areas of machine learning such as natural language processing and supervised/unsupervised modelling preferred.
  • Strong skills in problem solving and quantitative analysis are required.  Able to organize and prioritize work assignments to meet project needs.
  • Some familiarity with the social science domain is preferred.

WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

WHO WE ARE:

For over 75 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we’re known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

EEO STATEMENT: 

NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics.


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