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Probabilistic Modeling Jobs in Utah (NOW HIRING)

Genetics Tutor

Provo, UT · 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 ...

Genetics Tutor

Spanish Fork, UT · 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 ...

Genetics Tutor

Cedar City, UT · 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 ...

Genetics Tutor

Logan, UT · 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 ...

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.
What are popular job titles related to Probabilistic Modeling jobs in Utah? For Probabilistic Modeling jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Probabilistic Modeling jobs? Cities in Utah with the most Probabilistic Modeling job openings:
Assistant Professor in the Mathematics of AI

Assistant Professor in the Mathematics of AI

Utah State University

Logan, UT • On-site

$85K/yr

Full-time

Re-posted 26 days ago


Utah State University rating

7.3

Company rating: 7.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

318th of 546 rated colleges and universities


Job description

Overview
The Department of Mathematics and Statistics at Utah State University (USU) invites applications for a 9-month tenure-track Assistant Professor position in the Mathematics of Artificial Intelligence, with a starting date of August 1, 2026. We seek candidates whose research bridges mathematical foundations and computational methods to advance AI methodology and applications.
This position is inherently interdisciplinary. We seek candidates who demonstrate potential for strong synergies with the department's existing research strengths in Applied/MathBio, Statistics and Machine Learning, Analysis/PDE, and Discrete Math. Candidates should also be able to partner broadly with researchers across campus such as those in the Data Science and Artificial Intelligence Center, School of Computing, engineering, natural sciences, agriculture, natural resources, and social sciences.
Ideal candidates will have a robust mathematical background and have expertise in one or more of the following areas (not exhaustive):
  • Uncertainty quantification, stochastic analysis, or probabilistic modeling
  • Statistical learning theory, high dimensional inference, or generalization/robustness
  • PDEs, dynamical systems, or stochastic differential equations especially as they interact with learning
  • Graph and network methods, algorithmic combinatorics, discrete optimization, or network science
  • Principled methods for interpretability, certification, fairness, or robustness in AI.

Ideal candidates should also show interest in principled quantitative approaches to large-scale data from genetics, networks, or environmental systems. Preference will be given to applicants with potential to (a) attract external funding (e.g. NSF, NIH, DOE, DoD, etc.), (b) engage in multi-investigator or cross-unit proposals, (c) foster collaborations with industry, government labs, or domain scientists, and (d) contribute strongly to national or international programs in trustworthy and foundational AI.
Responsibilities
  • Research: Develop an independent and externally funded research program at the interface of mathematics and AI.
  • Teaching: Deliver undergraduate core mathematics courses (1000-3000 levels), courses within the interdisciplinary/applied mathematics graduate core (see USU General Catalog at https://catalog.usu.edu/ and search courses with prefix MATH, numbered 5000+), and develop advanced courses in AI, machine learning, computational mathematics, and data science.
  • Mentorship: supervise graduate students (PhD and MS, including the Industrial Math MS) and undergraduate students in programs including AI/data science and computational math.
  • Collaboration: establish and maintain synergies across campus (e.g. computing, engineering, life sciences, natural resources, social sciences) and contribute to campus-level AI/data science initiatives.
  • Service: departmental, college, and professional service consistent with expectations for a tenure-track faculty member.

The position is 50% research, 45% teaching and 5% service, with expectations that over time, the candidate will increase external funding, expand collaborative reach, and help build curricular strength in computational mathematics and data science.
Qualifications
Minimum Qualifications:
  • Ph.D. in Applied Mathematics, Mathematics, Statistics, Computer Science, Engineering, or a closely related field.
  • Research record of excellence at the interface of mathematics and AI/ML.
  • Evidence of, or potential for, strong teaching and mentoring across diverse student populations.

Preferred Qualifications:
  • Experience in interdisciplinary collaboration, particularly with biological, ecological, and environmental scientists.
  • Postdoctoral or equivalent training.
  • Experience with external research funding and collaborative proposals.
  • Evidence of, or potential for, collaborations with industry, government labs, or domain scientists.
  • Evidence of, or potential for, contributions to national or international programs on trustworthy and foundational AI.

Required Documents
Review of applications begins on December 15th, 2025, with the position open until filled. For more information please contact search committee chair Dr. Luis Gordillo (luis.gordillo@usu.edu).
Applicants should submit the following:
  1. Curriculum vitae (upload at the beginning of application in the Candidate Profile under "Resume/CV")
  2. Cover letter addressing fit with the mission of this position and existing departmental strengths to be uploaded at the beginning of your application in the Candidate Profile under "Documents 1-10"
  3. Research statement to be uploaded at the beginning of your application in the Candidate Profile under "Documents 1-10"
  4. Teaching statement/philosophy to be uploaded at the beginning of your application in the Candidate Profile under "Documents 1-10"
  5. At least three letters of recommendation (to be submitted via MathJobs link below), with at least one addressing the applicant's teaching experience and potential

All application materials, except for reference letters, must be provided through the USU Jobs site: https://careers-usu.icims.com/jobs/9612/assistant-professor-in-the-mathematics-of-ai/job
Reference letters must be provided via MathJobs at https://www.mathjobs.org/jobs/list/27318.
**Document size may not exceed 10 MB.**
Advertised Salary
Minimum $85,000, commensurate with qualifications and experience, plus excellent benefits
ADA
Employees typically work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes.
College/Department Highlights
The Department of Mathematics and Statistics is committed to delivering advanced quantitative and analytic skills for professionals in education, industry, and research through classroom instruction as well as practical and research experiences. The Department is one of the largest departments at USU, with over 50 faculty members, 60 Master's and PhD students, and 300 undergraduate majors. The College of Arts and Sciences and USU's Research Office makes significant investments in faculty development, including startup packages, faculty seed grants, and proposal development assistance.
USU is located in Logan, Utah, a city of 54,000-plus people in a picturesque mountain valley 1.5 hours north of Salt Lake City, and just minutes from the Cache National Forest. Its location puts us close to Utah's vibrant tech economy, as well as recreation opportunities in Utah's abundant national and state parks and monuments. Please see the department jobs website to view other available faculty and post-doc positions in the department.
University Highlights
Founded in 1888, Utah State University is Utah's premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact.
USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State's 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state.
Competing at the NCAA Division I level, USU is a proud member of the Mountain West Conference and will join the Pac-12 Conference beginning in the 2026-2027 season. The Aggies' long-standing tradition of athletic and academic excellence is exemplified by recent Mountain West regular-season and tournament championships in women's volleyball, three consecutive Mountain West tournament titles in women's soccer conference championships, and a first-ever conference championship for gymnastics, reflecting USU's commitment to perseverance and achievement.
Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU.
The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university's ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu.
*updated 12/2025
Notice of Non-discrimination
In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law.
Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law.
Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities.
In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.
The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU's non-discrimination policies:
Matthew Pinner
Executive Director
Civil Rights & Title IX Office
matthew.pinner@usu.edu
435-797-1266 | Old Main Rm. 401D
1475 Old Main Hill, Logan, UT 84322
Cody Carmichael
Title IX Coordinator
cody.carmichael@usu.edu
435-797-1266 | Old Main Rm. 402D
1475 Old Main Hill, Logan, UT 84322
For further information regarding non-discrimination, please visit crtix.usu.edu or contact:
U.S. Department of Education
Denver Regional Office
303-844-5695| OCR.Denver@ed.gov
U.S. Department of Education
Office of Assistant Secretary for Civil Rights
800-421-3481 | OCR@ed.gov
*updated 10/2025

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