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Probability Theory Jobs in Exeter, NH (NOW HIRING)

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Probability Theory information

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$15

$29

$40

How much do probability theory jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for probability theory in Exeter, NH is $29.96, according to ZipRecruiter salary data. Most workers in this role earn between $25.91 and $33.51 per hour, depending on experience, location, and employer.

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 cities near Exeter, NH are hiring for Probability Theory jobs?

Cities near Exeter, NH with the most Probability Theory job openings:

Probability Theory jobs near you
Infographic showing various Probability Theory job openings in Exeter, NH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $62,317 per year, or $30 per hour.

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Manchester, NH • On-site

$125K/yr

Full-time

Posted 5 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

311th of 854 rated public administrative organizations

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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