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Probability Theory Jobs in California (NOW HIRING)

Marvell

DSP Architect

Santa Clara, CA · On-site

Probability Theory Preferred Qualifications: * Strong R&D experience in Probability Theory, Detection and Estimation Theory, Coding Theory, Digital Communications, or Digital Signal Processing.

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Probability Theory information

What is probability theory?

Probability theory is a branch of mathematics that deals with the analysis of random phenomena and the likelihood of different outcomes. It provides a mathematical framework for quantifying uncertainty, modeling random events, and making predictions about future occurrences. Probability theory is widely used in fields such as statistics, finance, engineering, and science to analyze data, assess risks, and inform decision-making.

What are the key skills and qualifications needed to thrive as a probability theorist, and why are they important?

To thrive as a Probability Theorist, you typically need a strong background in advanced mathematics, including calculus, linear algebra, and mathematical statistics, supported by at least a master's or Ph.D. in mathematics or a related field. Familiarity with mathematical software such as MATLAB, R, or Python, and experience with statistical computing tools, are commonly required. Analytical thinking, attention to detail, and effective problem-solving abilities are crucial soft skills in this field. These competencies enable rigorous analysis, innovative research, and practical applications of probability theory in diverse scientific and engineering domains.

What are some common challenges faced by professionals working in the field of probability theory?

Professionals in probability theory often encounter challenges such as translating abstract mathematical concepts into practical applications, especially when collaborating with colleagues from other disciplines like engineering, finance, or data science. The work can also involve tackling complex, open-ended problems that require creative solutions and rigorous proof techniques. Additionally, staying current with rapidly evolving research and methodologies is crucial, as the field is continually influenced by advances in related areas like machine learning and statistics. Effective communication and teamwork are essential, particularly when conveying complex ideas to non-specialists or integrating probability models into larger projects.

What is the difference between Probability Theory vs Data Analyst?

AspectProbability TheoryData Analyst
Required CredentialsMathematics or Statistics degree, advanced certificationsBachelor's in Statistics, Data Science, or related field
Work EnvironmentTheoretical research, academia, or R&D departmentsBusiness settings, tech companies, or consulting firms
Industry UsageModeling, risk assessment, researchData interpretation, reporting, decision support
Common Search/ComparisonFocus on mathematical foundationsFocus on practical data analysis skills

Probability Theory involves the mathematical study of randomness and uncertainty, often used in research and modeling. Data Analysts apply statistical methods to interpret data and support business decisions. While Probability Theory provides the theoretical foundation, Data Analysts focus on practical data handling and reporting.

What are the careers in probability theory?

Careers in probability theory include roles such as data analyst, statistician, quantitative analyst, risk analyst, and research scientist. These positions often require strong mathematical skills, proficiency with statistical software, and a solid understanding of stochastic processes and modeling techniques.

What are three career fields that use probability theory?

Probability theory is fundamental in fields such as finance, where it underpins risk assessment and modeling; data science and machine learning, which rely on statistical methods to analyze data; and engineering, particularly in areas like reliability analysis and quality control. Professionals in these fields often use statistical software and require strong analytical skills.

What are popular job titles related to Probability Theory jobs in California?

For Probability Theory jobs in California, the most frequently searched job titles are:

What job categories do people searching Probability Theory jobs in California look for?

The top searched job categories for Probability Theory jobs in California are:

What cities in California are hiring for Probability Theory jobs?

Cities in California with the most Probability Theory job openings:

Probability Theory jobs near you
Infographic showing various Probability Theory job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Assistant Professor in Probability Theory and Stochastic Analysis

University of South Carolina

Los Angeles, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 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.

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