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Probabilistic Modeling Jobs in Minneapolis, MN (NOW HIRING)

Hydrogeologist/Hydrologist

Minneapolis, MN ยท On-site

$50K - $70K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Demonstrated ability to perform data analysis, statistical/probabilistic modeling, and time-series forecasting for hydrologic and hydrogeologic systems * Experience integrating hydrogeologic and ...

Hydrogeologist/Hydrologist

Minneapolis, MN ยท On-site

$50K - $70K/yr

Demonstrated ability to perform data analysis, statistical/probabilistic modeling, and time-series forecasting for hydrologic and hydrogeologic systems * Experience integrating hydrogeologic and ...

Lead Research Engineer

Eagan, MN ยท On-site

$127 - $237/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods. * Demonstrated ability to mentor engineers, elevate team technical ...

New

Research Engineer

Eagan, MN ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with probabilistic models andunderstandthe mathematical concepts underlying machine learning methods * Proficiencyin automation, system monitoring, and cloud-native applications, with ...

Research Engineer

Eagan, MN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with probabilistic models and understand the mathematical concepts underlying machine learning methods * Proficiency in automation, system monitoring, and cloud-native applications, with ...

Research Engineer

Eagan, MN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with probabilistic models and understand the mathematical concepts underlying machine learning methods * Proficiency in automation, system monitoring, and cloud-native applications, with ...

Research Engineer

Eagan, MN ยท On-site

$88 - $164/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with probabilistic models and understand the mathematical concepts underlying machine learning methods* Proficiency in automation, system monitoring, and cloud-native applications, with ...

New

Lead Research Engineer

Eagan, MN ยท On-site

$104K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods * Demonstrated ability to mentor engineers, elevate team technical ...

Lead Research Engineer

Eagan, MN ยท On-site

$104K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods * Demonstrated ability to mentor engineers, elevate team technical ...

Lead Research Engineer

Eagan, MN ยท On-site +1

$104K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods * Demonstrated ability to mentor engineers, elevate team technical ...

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Showing results 1-20

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 are popular job titles related to Probabilistic Modeling jobs in Minneapolis, MN?

For Probabilistic Modeling jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Probabilistic Modeling jobs in Minneapolis, MN look for?

The top searched job categories for Probabilistic Modeling jobs in Minneapolis, MN are:

Infographic showing various Probabilistic Modeling job openings in Minneapolis, MN as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Hydrogeologist/Hydrologist

Harrison Consulting Solutions

Minneapolis, MN โ€ข Hybrid

Full-time

Re-posted 3 days ago


Job description

Science and engineering consulting firm with over 85 years of success is adding a Hydrogeologist/Hydrologist to their team in Minneapolis! This is a hybrid position.


Responsibilities:

  • Support hydrogeology/surface water hydrology projects in the environmental services industry
  • Conduct field investigations (aquifer testing, surface water discharge gauging, and geologic logging/mapping)
  • Support project permitting, industrial development, and site remediation through the development/application of numerical groundwater flow and transport models
  • Develop/execute technical investigations for hydrologic characterization of groundwater systems in environments comprised of unconsolidated deposits, sedimentary rock, and fractured crystalline rock
  • Perform quantitative analysis of hydrologic and hydrogeological data (probabilistic analysis/forecasting)
  • Develop technical reports/memos to support the permitting of natural resource development projects
  • Provide construction support/administration


Requirements:

  • Bachelor’s degree in civil engineering, environmental engineering, or related engineering
  • Master’s degree in water resources engineering, geology, or a related field preferred
  • 2+ years of experience in water resources or hydrogeology, preferably supporting mining applications preferred
  • Experience performing hydrogeological and hydrologic investigations, analysis, and modeling, through internships or co-ops
  • Experience with report preparation and technical writing
  • Proficient with groundwater and surface water modeling tools (MODFLOW/MT3D, FEFLOW, HEC-RAS, HEC-HMS, XP-SWMM, or similar numerical codes)
  • Experience developing and applying numerical groundwater flow, constituent transport, and surface water hydrology/hydraulic models, including work in unconsolidated, sedimentary, fractured rock, and deep bedrock environments preferred
  • Experience planning, coordinating, and executing hydrogeologic and hydrologic field investigations, including packer testing, multi-well aquifer testing, and analysis of field and large data sets preferred
  • Demonstrated ability to perform data analysis, statistical/probabilistic modeling, and time-series forecasting for hydrologic and hydrogeologic systems preferred
  • Experience integrating hydrogeologic and hydrologic analyses with feasibility studies, alternatives analyses, and mine permitting efforts preferred
  • Familiar with NEPA processes/documentation and mine permitting preferred


Salary is commensurate with experience.


Successful applicants must be authorized to work in the USA without sponsorship.


All qualified applicants will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, sexual orientation, gender identity, or national origin.


Please contact Laura Harrison for further information!


www.harrisonconsultingsolutions.com


517-906-6926