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Probabilistic Modeling Jobs in Lake Forest, IL (NOW HIRING)

Numerator

Director, Data Science

Chicago, IL · On-site

Deep expertise in statistical modeling, machine learning, and probabilistic reasoning * Strong grounding in panel, survey, or sampling methodology - weighting, representativeness, and measurement ...

Numerator

Director, Data Science

Chicago, IL

Deep expertise in statistical modeling, machine learning, and probabilistic reasoning * Strong grounding in panel, survey, or sampling methodology - weighting, representativeness, and measurement ...

Numerator

Director, Data Science

Chicago, IL · On-site

Deep expertise in statistical modeling, machine learning, and probabilistic reasoning * Strong grounding in panel, survey, or sampling methodology - weighting, representativeness, and measurement ...

Next Level Business Services, Inc.

IBM MDM

Chicago, IL · On-site

Has knowledge of the data model provided in IBM MDM & can perform data mapping activities based on ... Deterministic/Probabilistic), Transaction audit Logging, Messaging, and Notifications & DSUI ...

Stealth Startup

Research Scientist

Mundelein, IL · On-site

Experience with tabular foundation models or in-context learning. * Experience with time-series forecasting or probabilistic prediction. * GPU performance optimization experience, including ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Experience with probabilistic record linkage, entity resolution, fuzzy matching, or deduplication. * Experience explaining model outputs using feature importance, SHAP, reason codes, or other ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Experience with probabilistic record linkage, entity resolution, fuzzy matching, or deduplication. * Experience explaining model outputs using feature importance, SHAP, reason codes, or other ...

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Probabilistic Modeling information

What is probabilistic modeling?

Probabilistic modeling is a mathematical framework used to represent uncertain events or data by using probability distributions. Instead of giving a single outcome, it accounts for variability and randomness, allowing predictions and inferences even when information is incomplete or ambiguous. Probabilistic models are widely used in fields like statistics, machine learning, finance, and engineering to analyze data, make forecasts, and support decision-making under uncertainty.

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

To thrive as a Probabilistic Modeler, you need a strong background in mathematics, statistics, and probability theory, often supported by a degree in applied mathematics, statistics, or a related field. Proficiency with programming languages like Python or R, and experience with statistical modeling tools and software such as TensorFlow or PyMC, are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex models into actionable insights. These skills are vital for designing accurate models, interpreting uncertainty, and supporting data-driven decisions across various industries.

What are some common challenges faced by professionals in probabilistic modeling roles, and how can they be managed?

Professionals in probabilistic modeling often encounter challenges such as working with incomplete or noisy data, choosing the right model complexity, and ensuring model interpretability for stakeholders. Managing these challenges involves strong statistical knowledge, regular collaboration with domain experts, and effective communication to translate complex results for non-technical team members. Staying up-to-date with the latest tools and methodologies, and participating in peer reviews, can also help maintain model accuracy and reliability.

What is the difference between Probabilistic Modeling vs Data Scientist?

AspectProbabilistic ModelingData Scientist
Required CredentialsDegree in statistics, mathematics, or related fields; knowledge of probability theoryDegree in computer science, statistics, or related fields; programming skills
Work EnvironmentResearch-focused, often in analytics or data science teamsCross-functional teams, including business, engineering, and analytics
Industry UsageUsed in analytics, finance, healthcare, and research for modeling uncertaintyApplied across industries for data analysis, predictive modeling, and decision-making

Probabilistic Modeling focuses on developing models based on probability theory to understand uncertainty, while Data Scientists utilize a broader set of skills including programming, data analysis, and machine learning to extract insights from data. Both roles often overlap but serve different primary purposes within data-driven organizations.

What job categories do people searching Probabilistic Modeling jobs in Lake Forest, IL look for?

The top searched job categories for Probabilistic Modeling jobs in Lake Forest, IL are:

Probabilistic Modeling jobs near you
Infographic showing various Probabilistic Modeling job openings in Lake Forest, IL as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Campus Quantitative Trader (Full-Time)

Jump Trading

Chicago, IL • On-site

$300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
About the Role:
At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. Quant Traders will get training in all of these areas, with a focus in trading and financial markets. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset.
You will then work alongside our trading teams to devise trading strategies across global markets.
Other duties as assigned or needed.
Who Should Apply?
We are seeking the sharpest analytical minds from top undergraduate and graduate programs.
Ideal candidates will have:
  • Outstanding skills in probabilistic thinking and mathematical reasoning
  • Competitive spirit and uncommon drive to learn and improve
  • Programming experience
  • Appetite for risk-taking
  • Demonstrated interest in financial markets

Reliable and predictable availability required.
INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
The estimated base salary for this role is $300,000 per year.
Benefits
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs

Apply