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Bayesian Modeling Jobs in Chicago, IL (NOW HIRING)

Meta

Competitive Intelligence Research

Chicago, IL

$177K/yr

... e.g., bayesian pooling, hierarchical modeling) * Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders * Demonstrated ...

EVOZYNE INC

Applied AI Research Fellow

Chicago, IL · On-site

We combine sequence-based models and variational autoencoders (VAEs) with Bayesian optimization, using experimental data to rapidly design and refine proteins into impactful therapeutics. The Applied ...

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All JobsBayesian Modeling JobsBayesian Modeling Jobs in Chicago, IL

Bayesian Modeling information

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How much do bayesian modeling jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for bayesian modeling in Chicago, IL is $60.48, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $70.34 per hour, depending on experience, location, and employer.

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 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.

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 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.
What are popular job titles related to Bayesian Modeling jobs in Chicago, IL? For Bayesian Modeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Chicago, IL look for? The top searched job categories for Bayesian Modeling jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Bayesian Modeling jobs? Cities near Chicago, IL with the most Bayesian Modeling job openings:
Bayesian Modeling jobs near you
Sr. Data Scientist - Measurement & Modeling Development

Sr. Data Scientist - Measurement & Modeling Development

Ovative Group

Chicago, IL • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
Ovative Group is an independent, full-funnel media, measurement, and creative firm. As the Senior Data Scientist, you will develop advanced marketing measurement and modeling capabilities, focusing on AI-assisted marketing data science and measurement solutions to maximize client value.
Responsibilities:
• Lead technical data science contributor in a high-performance multi-disciplinary team comprising data science, data engineering, and full stack members, responsible for your team’s productivity, operational excellence, and business impact.
• Drive technical advancement across measurement and modeling products — co-owning model architecture, methodology, and feature development across aspects of work from POC through production-ready deployment.
• Partner closely with Engineering and Product Management to scale your team’s innovative measurement and modeling solutions into product and service offerings.
• Contribute to product development cycles within an agile environment, including sprint planning, backlog refinement, and translating research outputs into scalable, maintainable product features.
• Provide mentoring, training, and other opportunities for effective technical development of data scientists.
• Assist with technical parts of business development as needed, including RFP response, sales, and conference presentations using AI assistance where applicable.
• Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support.
Qualifications:
Required:
• 3+ years of hands-on experience in data science or a related quantitative field, with a strong track record of delivering business value through technical innovation.
• Experience contributing to product-centric data science teams, including working within agile development cycles and translating research outputs into scalable, maintainable product features.
• Expertise in machine learning, advanced statistical modeling, and optimization algorithms, with hands-on experience in the areas listed below.
• Demonstrated expertise in object-oriented programming in Python and statistical programming in R, with industry best practices in writing scalable and maintainable code.
• Bayesian / Media Mix Modeling (MMM) experience.
• Experience with time-series modeling and/or forecasting methods.
• Expertise with linear algebra and advanced statistical modeling.
Preferred:
• Hands-on experience with optimization solvers (e.g., Gurobi, Pyomo) and the underlying algorithm classes that power them, including gradient-based, convex, and greedy method.
• Experience with attribution modeling.
• Applied experience integrating AI-assisted development practices into DS workflows, including code generation, methodology exploration, and documentation.
• Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization.
• Strong business acumen, especially within digital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.
• Excellent communicator: able to lead conversations with technical and non-technical stakeholders, including senior client partners and internal executives.
• Demonstrated leadership and mentorship skills; able to think independently, guide junior team members, and influence cross-functional teams.
Company:
Digital strategy consultants serving the retail and consumer packaged goods industry Founded in 2009, the company is headquartered in Minneapolis, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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