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Probability Theory Stochastic Jobs (NOW HIRING)

Wolverine

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 ...

Raytheon

Senior RF Data Link Engineer

Tucson, AZ · On-site

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical or computer engineering with a focus in digital ...

Raytheon

Principal RF Data Link Engineer

Dallas, TX

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus on digital ...

Raytheon

Principal RF Data Link Engineer

Dallas, TX

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus on digital ...

Raytheon

RF Data Link Engineer II

Tucson, AZ · On-site

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus in digital ...

Raytheon

RF Data Link Engineer II

Tucson, AZ · On-site

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus in digital ...

Raytheon

Principal RF Data Link Engineer

Dallas, TX

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus on digital ...

Raytheon

Principal RF Data Link Engineer

Tucson, AZ · On-site

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus on digital ...

Raytheon

Senior RF Data Link Engineer

Tucson, AZ · On-site

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical or computer engineering with a focus in digital ...

Raytheon

RF Data Link Engineer II

Tucson, AZ · On-site

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus in digital ...

Raytheon

Senior RF Data Link Engineer

Tucson, AZ · On-site

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical or computer engineering with a focus in digital ...

Raytheon

RF Data Link Engineer II

Los Angeles, CA

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus in digital ...

Raytheon

RF Data Link Engineer II

Los Angeles, CA

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus in digital ...

Raytheon

Principal RF Data Link Engineer

Tucson, AZ · On-site

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus on digital ...

Raytheon

Senior RF Data Link Engineer

Tucson, AZ

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical or computer engineering with a focus in digital ...

Raytheon

Principal RF Data Link Engineer

Dallas, TX

Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer engineering with a focus on digital ...

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All JobsProbability Theory Stochastic Jobs

Probability Theory Stochastic information

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$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.

GDMS - Signal Processing Systems Engineer

Minneapolis, MN • On-site

Beyond SOF
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Beyond SOFexternal

$121K - $130K/yr

Full-time

Re-posted 12 days ago

Key responsibilities

  • Analyze, design, develop, and test signal processing systems.

  • Formulate operational concepts, perform mission, functional, and risk analysis, and prepare system specifications.

  • Perform requirements analysis, system design, testing, verification, and validation of radar sensor and signal processing algorithms.

Job description

Signal Processing Systems Engineer
Experience level: Mid Level
Experience required: 5 Years
Education level: Bachelor's degree
Job function: Engineering
Industry: Defense & Space
Compensation: $121,000 - $130,000
Total position: 1
Relocation assistance: No
Visa : Only US citizens and Greencard holders
COMPANY OVERVIEW:
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high performance team!
General Dynamics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran.
BASIC QUALIFICATIONS:
Bachelor's degree in systems engineering, a related specialized area or field is required plus a minimum of 5 years of relevant experience; or Master's degree plus a minimum of 3 years of relevant experience. Agile experience preferred.
CLEARANCE REQUIREMENTS:
Department of Defense Secret Clearance is required within a reasonable period of time. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
RESPONSIBILITIES FOR THIS POSITION:
General Dynamics Mission Systems has an immediate opening for an Advanced Signal Processing Systems Engineer.This position provides an opportunity to further advance the cutting-edge technology that supports some of our nation's core defense/intelligence services and systems.General Dynamics Mission Systems employees work closely with esteemed customers to develop solutions that allow them to carry out high-stakes national security missions.
REPRESENTATIVE DUTIES AND TASKS:
The Advanced Signal Processing Systems Engineer will analyze, design, develop, and test signal processing systems for General Dynamics Mission Systems engineering efforts. Additional responsibilities include formulating operational concepts (CONOPS); performing mission, functional, and risk analysis; selecting systems architecture; and preparing specifications for General Dynamics Mission Systems operating systems to ensure designs meet applicable specifications.
The Advanced Signal Processing Systems Engineer may also:
Perform requirements analysis, requirements definition, requirements management, functional analysis, performance analysis, system design, detail trade studies, systems integration and test (verification), validation and interface definition studies of subsystem or system elements
Participate in Modeling and Simulation
Perform testing, verification, and validation of radar sensor and signal processing algorithm requirements and performance
KNOWLEDGE SKILLS AND ABILITIES:
  • Knowledge of radar signal processing and analysis.
  • Proficient with MATLAB and C/C++ programming languages
  • RF background with a working knowledge of electronic scanned antennas, receivers, exciters, and digital signal processing
  • Experience specifically in Radar Signal Processing (e.g. design requirements for radar systems, tactical or simulation algorithm prototyping or implementation)
  • Knowledge of hardware and software integration
  • Strong written and verbal communications skills

PREFERRED EXPERIENCE:
  • Working knowledge of sensor modalities (e.g. EO/IT, LIDAR, HSI)
  • Hold active Secret Level DOD Clearance
  • Algorithm profiling and porting
  • Single and multi-processor/core environments
  • Familiar with vector/signal processing libraries
  • Coursework and/or experience with digital signal processing, probability theory, stochastic signal processing, and electromagnetic theory.

PREFERRED DEGREE TYPES:
Bachelor's or Master's degree in Electrical Engineering, Math, Physics, or equivalent

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