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Probabilistic Modeling Jobs in Nebraska (NOW HIRING)

Warnerbros

Senior Machine Learning Engineer

Bellevue, NE

$99K - $135K/yr

... model training, evaluation, deployment, and monitoring. Own one or more flagship ML products - e.g., probabilistic identity resolution (matching unauthenticated device IDs and 1P cookies to ...

Varsity Tutors

Genetics Tutor

Lincoln, NE · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science ...

Varsity Tutors

Genetics Tutor

Omaha, NE · Remote

$18 - $40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science ...

All JobsProbabilistic Modeling JobsProbabilistic Modeling Jobs in Nebraska

Probabilistic Modeling information

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 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.

Which 3 jobs will survive AI?

Probabilistic modeling is a specialized field within data science and machine learning. Jobs that require advanced analytical skills, such as data scientists, machine learning engineers, and quantitative analysts, are likely to persist as they involve complex problem-solving and domain expertise that AI tools complement rather than replace. Continuous learning and proficiency with statistical tools and programming languages like Python or R are essential for these roles.

What is probabilistic modelling?

Probabilistic modeling is a technique used in probabilistic modeling roles to represent uncertainty and variability in data through mathematical models that incorporate probability distributions. It involves designing models that can predict outcomes and infer hidden variables, often using tools like Bayesian inference and statistical analysis. These skills are essential for data scientists and statisticians working with complex, uncertain data environments.

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 professions make 500,000 a year?

In probabilistic modeling, senior roles such as quantitative researchers, data science directors, and machine learning engineers at large tech firms or financial institutions can earn $500,000 or more annually. These positions typically require advanced degrees, extensive experience, and expertise in statistical methods, programming, and data analysis tools. Compensation often includes base salary, bonuses, and stock options, especially in high-growth or competitive industries.

What professions make 200,000 a year without a degree?

Professions related to probabilistic modeling, such as data scientists, machine learning engineers, and quantitative analysts, can reach or exceed $200,000 annually often through experience, specialized skills, and industry demand. These roles typically require strong programming, statistical, and analytical skills, and some may be self-taught or gained through certifications rather than formal degrees.

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.
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Probabilistic Modeling jobs near you
Engineer I - V - CNS (Probabilistic Risk Assessment)

Engineer I - V - CNS (Probabilistic Risk Assessment)

Nebraska Public Power District

Brownville, NE • On-site

$11K - $14K/mo

Other

Medical, Dental, Retirement, PTO

Re-posted 25 days ago

Job description

Nebraska Public Power District (NPPD) has an immediate opening for a Engineer I - V - CNS (Probabilistic Risk Assessment) located at Cooper Nuclear Station in Brownville, Nebraska.  Position closes August 31, 2026 at 11:59 p.m. Central Time or until filled. 

Position Summary

Note:  Level I to Level V Engineer is considered a progression and is approved by the appropriate manager.  Engineering positions are managed under the NPPD Nuclear Engineering Career Path document. 

The Probabilistic Risk Assessment (PRA) Engineer develops, maintains, and applies nuclear power plant PRA models to support safe, reliable, and cost-effectiver operation of Cooper Nuclear Station.

Education, Training and Experience

Requierd: Bachelors of Scicence degree in Engineering dicsicipline (Mechanical, Nuclear or Electrical Engineering preferred). Degree must be ABET Accredited. 

Preferred training and experience:

  • Three or more years prior experience in the nuclear power industry (PRA, DesignEngineering, System Engineering, or Operations preferred)
  • Thermal-Hydraulic and/or radiological dose analysis experience
  • Proficient in the use of EXCEL and/or ACCESS database tools for analyzing data
Licenses and/or Certifications

None

Essential Duties & Responsibilities

Evaluate plant design and licensing changes to determine their impact on plant risk.


Implement PRA modeling and techniques to meet industry and regulatory standards foroptimization of programs at CNS.


Develop, maintain, and document PRA computer-based models to efficiently and accuratelyevaluate risk associated with operation and maintenance of the plant.


Provide quantitative and qualitative nuclear risk assessments to support 10CFR50.65, MitigatingSystems Performance Index (MSPI), NRC reactor oversight process, and risk informed licensingactions.

Accountable for other duties as assigned.
Core Competencies
Customer Focus
Employees & Teamwork/Diversity & Inclusion
Integrity/Excellence
Public Service/Environmental Stewardship
Safety

Salary Information - Nebraska Public Power District offers a competitive starting salary with opportunities for growth. In addition to the base salary range listed below, NPPD employees may also be eligible for our Annual Incentive Program (AIP) that may supplement total compensation at a level above and beyond the stated salary range.  Successful applicants will be provided more information regarding the incentive program at the time of an interview.

Pay Grade and Typical Pay Grade Starting Salary Range: 

Engineer Level I: Exempt Pay Grade 12: $6,837 - $8,636 per month

Engineer Level II: Exempt Pay Grade 13: $7,668 - $9,686 per month

Engineer Level III: Exempt Pay Grade 14: $8,720 - $11,231 per month

Engineer Level IV: Exempt Pay Grade 15: $10,006 - $12,887 per month

Engineer Level V: Exempt Pay Grade 16: $11,480 - $14,785 per month

Travel Required: Up to 25% (With no or minimal overnight stays, less than 3 per month, typically within state of Nebraska)  Travel required may fluctuate by business need. This is an estimate and will be discussed further with candidates that receive an interview.

Nebraska Public Power District offers a competitive starting salary and an excellent benefits package including medical and dental insurance, 401K retirement plan, paid holidays, paid vacation, paid medical, training opportunities and more.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Human Resources at Nebraska Public Power District.

Nebraska Public Power District is an Equal Opportunity Employer

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