ZipRecruiter

Log In

1

Probability Theory Stochastic Jobs (NOW HIRING)

Altamira Technologies Corp.

$64K - $78K/yr

Serve as a subject matter expert in applied mathematics, probability theory, stochastic processes, statistical inference, and event processing. * Develop and refine probabilistic algorithms ...

Prattwhitney

RF Data Link Engineer II

Tucson, AZ · On-site

At least two of the following: communication theory, digital signal processing, probability theory, stochastic signal processing, RF and electromagnetic theory. * Master's degree in electrical or ...

Prattwhitney

Senior RF Data Link Engineer

Tucson, AZ · On-site

$86K - $165K/yr

Experience with communication theory, digital signal processing, probability theory, stochastic signal processing, and RF and electromagnetic theory. * U.S. citizenship (required for security ...

Wolverine Worldwide

C# Software Engineer

Chicago, IL · On-site

$80K - $120K/yr

Strong foundation in advanced mathematics and statistics, including probability theory, stochastic calculus, numerical methods, and linear algebra * Experience with data analytic tools such as SQL ...

Wolverine

C# Software Engineer

Chicago, IL · On-site

Strong foundation in advanced mathematics and statistics, including probability theory, stochastic calculus, numerical methods, and linear algebra * Experience with data analytic tools such as SQL ...

next page

Showing results 1-20

All JobsProbability Theory Stochastic Jobs

Probability Theory Stochastic information

See salary details

$33.5K

$69.7K

$97K

How much do probability theory stochastic jobs pay per year?

As of Sep 10, 2026, the average yearly pay for probability theory stochastic in the United States is $69,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is a probability theory stochastic?

A Probability Theory Stochastic job typically involves applying mathematical concepts of probability and stochastic processes to solve real-world problems in fields such as finance, engineering, data science, and research. Professionals in this area analyze random events, model uncertainties, and develop predictions or simulations based on probabilistic frameworks. Their work often includes designing algorithms, conducting statistical analysis, and interpreting results to inform decision-making or optimize systems. These roles are common in academic research, quantitative finance, insurance, and tech industries.

What are the key skills and qualifications needed to thrive as a probability theory stochastic specialist?

To excel in Probability Theory and Stochastic Processes, a strong background in advanced mathematics, statistics, and a relevant degree such as mathematics, statistics, or applied mathematics is essential. Familiarity with programming languages like Python or R, and experience with mathematical software such as MATLAB, as well as knowledge of specialized statistical packages, are typically required. Analytical thinking, attention to detail, and effective communication skills help professionals model complex systems and explain their findings to diverse audiences. These competencies are crucial for solving real-world problems involving uncertainty and variability in fields like finance, engineering, and data science.

What are some common challenges faced by professionals working in probability theory stochastic, and how can they be addressed?

Professionals in Probability Theory and Stochastic Processes often encounter complex, abstract problems that require strong mathematical intuition and analytical skills. One common challenge is translating real-world phenomena into suitable probabilistic models, which can involve handling incomplete data or uncertainty. Collaboration with domain experts—such as engineers, data scientists, or financial analysts—is key to ensuring models are both mathematically sound and practically applicable. Staying up-to-date with the latest research and computational tools can also help address these challenges and improve problem-solving efficiency.

What is the difference between Probability Theory Stochastic vs Data Analyst?

AspectProbability Theory StochasticData Analyst
Required CredentialsMathematics, Statistics, or related degrees; often advanced certifications in stochastic processesStatistics, Data Science, or related degrees; certifications like CAP, Microsoft Data Analyst
Work EnvironmentResearch labs, financial institutions, academia, industries requiring modeling of randomnessBusiness, finance, healthcare, tech companies analyzing data for insights
Industry UsageUsed in finance, insurance, engineering, and scientific researchUsed across various industries for data-driven decision making

Probability Theory Stochastic focuses on modeling and analyzing random processes mathematically, often requiring advanced quantitative skills. Data Analysts interpret data to provide actionable insights, utilizing statistical tools and software. While both roles involve statistics, stochastic work is more theoretical and specialized, whereas data analysis is applied and business-oriented.

What other helpful pages are available for Probability Theory Stochastic?

Other pages related to Probability Theory Stochastic:

Infographic showing various Probability Theory Stochastic job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $69,726 per year, or $33.5 per hour.

Assistant Professor in Probability Theory and Stochastic Analysis

Los Angeles, CA • On-site

University of South Carolina
Traveler Accommodation • 201 - 500 employees
Learn more about University of South Carolinaexternal

Full-time

Medical, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Posting Summary
Logo Posting Number FAC00162PO24 Advertised Title Assistant Professor in Probability Theory and Stochastic Analysis Campus Columbia College/Division College of Arts and Sciences Department CAS Mathematics Advertised Salary Range We offer a competitive salary and benefits package. Location of Vacancy Part/Full Time Full Time Hours per Week 40 Position Category Full-time Equivalent (FTE) Basis 9 months Work County Richland Tenure Information Tenure-Track/Tenured Job Search Category Faculty
About USC
About University of South Carolina
From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond.
Veterans' Preference Statement
Benefits for FTE Positions
The University of South Carolina (USC), through the State of SC and Public Employee Benefit Authority (PEBA), offers state employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu.
Position Description
Advertised Job Summary
The faculty of the Department of Mathematics at the University of South Carolina, Columbia campus, invites applications for a 9-month, full time, tenure-track position at the rank of Assistant Professor to begin August 16, 2025. The successful candidate is expected to: 1) teach mathematics courses at all levels, as well as probability theory courses at the graduate level; and 2) contribute to synergistically bridging important theoretical developments in probability theory and existing research areas in the Department, such as analysis, applied mathematics, graph theory, number theory, or data science; and 3) provide service to the academic unit.
Required Education and Experience
The position requires a Ph. D degree in Mathematics by the start date of employment, an outstanding research record, a commitment to effective teaching at the undergraduate and graduate levels, and a demonstrated potential for excellence in both teaching and research. Expertise areas of interest include, but are not limited to, stochastic analysis, ergodic theory, random matrix theory, random graphs, and noncommutative probability.
Preferred Qualifications
The position requires a Ph. D degree in Mathematics by the start date of employment, an outstanding research record, a commitment to effective teaching at the undergraduate and graduate levels, and a demonstrated potential for excellence in both teaching and research. Expertise areas of interest include, but are not limited to, stochastic analysis, ergodic theory, random matrix theory, random graphs, and noncommutative probability.
Posting Detail Information
Desired Start Date 08/16/2025 Job Open Date 09/05/2024 Job Close Date Open Until Filled Yes Special Instructions to Applicant
Applications must be submitted through both the University's online employment system
USC Jobs at (https://uscjobs.sc.edu/posting/129231) as well as via Math Jobs (https://www.mathjobs.org/jobs/list/25049).
Applications must include: (1) a cover letter, (2) a curriculum vitae, (3) research statement, (4) teaching statement, and (5) four reference letters, signed and on letterhead, with at least one reference letter addressing the applicant's teaching ability. The reference letters may be submitted via Mathjobs. Review of applications will begin on November 1, 2024 and continue until the position is filled. Please address inquiries to cooper@math.sc.edu.
This position is open until filled. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.

Quicklink for Posting https://uscjobs.sc.edu/postings/175115 EEO Statement
The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.

Apply