ZipRecruiter

Log In

1

Bayesian Modeling Jobs in Lemont, 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 ...

Green Thumb

Data Scientist

Chicago, IL · On-site

Experience with advanced machine learning modeling techniques and algorithms such as Bayesian inference, Deep Learning neural networks, k-means clustering, etc * Familiarity with feature store ...

Green Thumb

Data Scientist

Chicago, IL · Hybrid

Experience with advanced machine learning modeling techniques and algorithms such as Bayesian inference, Deep Learning neural networks, k-means clustering, etc * Familiarity with feature store ...

Numerator

Director, Data Science

Chicago, IL · On-site

Experience with Bayesian statistics, hierarchical modeling, probabilistic inference, or state-space models * Experience with causal inference, experimental design, or behavioral modeling * Experience ...

Ovative group

Product Owner, EMRge MMM

Chicago, IL · On-site

You will need to understand the mechanics of Bayesian MMM at a level sufficient to write meaningful acceptance criteria, recognize when a modeling or pipeline decision has product implications, and ...

next page

Showing results 1-20

All JobsBayesian Modeling JobsBayesian Modeling Jobs in Lemont, IL

Bayesian Modeling information

See Lemont, IL salary details

$10

$59

$83

How much do bayesian modeling jobs pay per hour?

As of Jul 26, 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 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 Lemont, IL? For Bayesian Modeling jobs in Lemont, IL, the most frequently searched job titles are:
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:
Bayesian Modeling jobs near you
Sr. Data Scientist - Measurement & Modeling Development

Sr. Data Scientist - Measurement & Modeling Development

Ovative group

Chicago, IL

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Job description

About Ovative Group:

Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself.

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

About the Role:

As the Senior Data Scientist, you will play a key role in:

  • Developing advanced marketing measurement and modeling capabilities(e.g., MMM, Forecasting)that unlock our company vision to transform the measure of marketing success. You will be at the forefront of developing and delivering differentiated AI-assisted marketing data science and measurement solutions focused on maximizing profitable enterprise revenue and customer value for our clients.

  • Partnering with driven, solution-minded experts, business leaders, analysts, and scientists atOvativein engaging with clients, and defining approaches and road maps for solutions to client problems.

  • Technical mentoring of junior data scientists across modeling approaches, experimental design, and code quality - building depth in the quantitative methods that power our measurement and modeling products.

  • Working with technology leaders, product owners, and engineers to convert novel solutions developed into scalable new services and product offerings atOvative.

  • Partnering with a larger Measurement & Modeling Development DS team toinform product roadmap priorities and emerging industry DS methodologies.

  • Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.

Responsibilities of a Sr. Data Scientist- Measurement & Modeling Development:

  • Lead technical data science contributorina high-performance multi-disciplinary teamcomprisingdata 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 developmentacrossaspects of workfrom POCthrough 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 toproduct 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.

  • Assistwith technical parts of business development as needed, including RFP response, sales, and conference presentations using AIassistancewhere applicable.

  • Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support.

Requirements:

  • 3+years of hands-on experiencein data science or a related quantitative field, with a strongtrack recordof delivering business value through technical innovation.

  • Experience contributing to product-centric data science teams, including working within agile developmentcyclesand translating research outputs into scalable, maintainable product features.

  • Expertiseinmachine learning, advanced statistical modeling, and optimization algorithms, with hands-on experience in the areas listed below.

  • Demonstratedexpertisein 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 withlinear algebra and advanced statistical modeling.

Preferred Technical Qualifications:

  • Hands-on experience with optimization solvers (e.g.,Gurobi,Pyomo) and the underlying algorithm classes that power them, including gradient-based, convex, and greedymethod.

  • Experience with attribution modeling.

  • Applied experience integrating AI-assisted development practices into DS workflows, including code generation,methodologyexploration, and documentation.

  • Familiarity withcloud infrastructure and deployment practices(e.g., AWS/GCP/Azure),MLOpspipelines, 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.

Preferred Programming and Data Environments:

  • Languages: Pythonand R

  • Tools: Git, Docker, Poetry, Azure

  • Data platforms:BigQuery, Databricks

  • Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure),MLOpspipelines, and containerization.

Pay Transparency

AtOvative, we offer a transparent view into three core components of your total compensation package: Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus.Actual offers are made with consideration for relevant experience andanticipatedimpact.Additionalbenefits information is provided below.

For ourSr. Data Scientistpositions, our compensation ranges from $90,000to $132,000, which is inclusive of a 20% bonus.

Benefits of Working at Ovative Group:

We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work.

Culture:

Culture matters and we've been recognized as a Top Workplace for tenyears running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We're open in communication and floor plan. We're flat - our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.

Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment-for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.

Compensation and Insurance:

We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix.

We're rewarded fairly and when the company performs well, we all benefit.

Tangible amenities we enjoy:

  • Access to all office spaces in MSP, NYC, and CHI

  • Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams

  • Generous paid vacation policy

  • 401k match program

  • Top-notch health insurance options, inclusive of same sex partners

  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs

  • Monthly stipend for your mobile phone and data plan

  • Sabbatical program

  • Charitable giving via our time and a financial match program

  • Shenanigan's Day

Working at Ovative won't be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it'll be the most rewarding job you'll ever have. If you think you can make us better, we want to hear from you!

Apply