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Probabilistic Modeling Jobs (NOW HIRING)

... probabilistic modeling, experience and exposure rating, and PML estimation; designing and implementing actuarial pricing frameworks and underwriting guidelines for global platforms; and developing ...

Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas - Collaborating with engineering and ...

Bayesian Inference & Probabilistic Modeling * Build Bayesian inference pipelines supporting real-time prediction across multiple ingestion tiers. * Implement probabilistic calibration techniques ...

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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.
More about Probabilistic Modeling jobs
What cities are hiring for Probabilistic Modeling jobs? Cities with the most Probabilistic Modeling job openings:
What states have the most Probabilistic Modeling jobs? States with the most job openings for Probabilistic Modeling jobs include:

Probabilistic Risk Assessment Practitioner

AMS Ameren Services

Steedman, MO

$60K - $172K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 days ago


Job description

About the Callaway Energy Center

The Callaway Energy Center is a nuclear facility located in mid-Missouri. The Energy Center has more than 800 employees and contractors working at the facility, and it has established a strong record of safe operation throughout its 30-year operating history. The Energy Center is a highly efficient, low-cost, sustainable source of electricity for Ameren Missouri's 1.2 million customers.

Our benefits include:

  • Medical coverage on date of hire

  • 100% employer paid cash balance pension plan

  • 401(k) with company match fully vested on date of hire

  • Minimum of 15 days paid vacation and 12 paid holidays

  • Paid parentalleave and family caregiver leave

Visit our Benefits & Perks Page for more information on benefits provided to regular full-time employees.

About The Position

The Probabilistic Risk Assessment Associate Practitioner learns, maintains, and applies nuclear power plant probabilistic risk assessment (PRA) models to support safe and cost-effective operation of the Callaway Energy Center.

Note: This is an active pipeline for a future opening.

Key responsibilities include:

  • Develop skills and knowledge to advise Nuclear Division personnel on issues related to PRA. Participate in plant program groups that use risk insights, such as the Maintenance Rule Expert Panel.
  • Develop skills to evaluate plant design and licensing changes to determine their quantitative impact on plant risk.
  • Achieve qualifications related to independently performing PRA activities related to PRA model maintenance and risk-informed applications.
  • Learn, maintain and document Callaway PRA (computer-based) models to enable determination of the quantitative risk associated with the operation and maintenance of the plant.
  • Assist in performance of evaluations to determine the risk significance of plant events. As necessary, interact with the Nuclear Regulatory Commission to provide requested information and provide technical representation for Callaway assessments.
  • Assist in consultation with nuclear division personnel on matters of qualitative and quantitative nuclear safety, including topics such as Maintenance Rule, MSPI, NRC Significance Determination Process, risk-informed Technical Specifications, and risk-informed licensing actions.
  • Learn and maintain department procedures related to PRA.
  • Assume Emergency Response Organization (ERO) duties in accordance with Callaway Energy Center Radiological Emergency Response Plan (RERP) including responding to assigned ERO facilities within the required RERP response time.
Qualifications

Associate Practitioner

Bachelor's Degree in Physics, Advanced Mathematics, Engineering Technology, or related skilled degree, from an accredited institution required. Training in nuclear Probabilistic Risk Assessment (Probabilistic Safety Assessment) or two or more years of nuclear Operations experience preferred.

Practitioner

Bachelor's Degree in Physics, Advanced Mathematics, Engineering Technology, or related skilled degree, from an accredited institution required. Two or more years in nuclear Probabilistic Risk Assessment (Probabilistic Safety Assessment) or nuclear Operations required.

Career Practitioner

Bachelor's Degree in Physics, Advanced Mathematics, Engineering Technology, or related skilled degree, from an accredited institution required. Minimum 5 years professional post-degree experience required In nuclear Probabilistic Risk Assessment (Probabilistic Safety Assessment) or nuclear Operations required. Demonstrated expertise in advanced PRA methods, communication, and leadership skills preferred.

Consulting Practitioner

Bachelor's Degree in Physics, Advanced Mathematics, Engineering Technology, or related skilled degree, from an accredited institution required. Minimum 8 years professional post-degree experience required in nuclear Probabilistic Risk Assessment (Probabilistic Safety Assessment) or nuclear Operations required. Demonstrated expertise in advanced nuclear PRA methods, communication skills, leadership and mentoring skills required. Nuclear Industry participation and recognition in the nuclear PRA Industry preferred.

*Technical career path level depends upon applicant's credentials.

In addition to the above qualifications, the successful candidate will demonstrate:

Good leadership, decision-making, human relations, and communication skills required. Security screening required for Callaway Energy Center access.

Working Conditions

The Probabilistic Risk Assessment Practitioner works a standard day shift in an office/plant/field setting at the Callaway Energy Center. Additional hours, callouts and/or rotating shifts may be required during refueling outages and emergent plant activities as the needs arise

Additional Information

Ameren's selection process includes a series of interviews and may include a leadership assessment process. Specific details will be provided to qualified candidates.

Compensation Range:

$60,600.00 - $172,200.00

* This pay range encompasses multiple levels of the role. Career level and compensation depends upon applicant's credentials.

At Ameren, base salary is one component of a competitive compensation package for employees. Our pay ranges are broad to allow for movement within our organization and to accommodate different skill sets and levels of expertise. We take into consideration a variety of factors including, but not limited to, skills, abilities, experience, education, credentials, and internal equity when determining the base salary offered. Roles are eligible for additional rewards including annual incentive payments based on individual and company performance.

If end date is listed, the posting will come down at 12:00 am on that date:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, disability, genetic information, military service or status, pregnancy, marital status, sexual orientation, gender identity or expression, or any other class, trait, or status protected by law.