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Stochastic Processes Jobs (NOW HIRING)

Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes ...

Signal Processing Engineer

Arlington, VA ยท On-site

$87K - $157K/yr

... and stochastic processes - Demonstrated strong oral and written communication - Ability to work in a team environment, as well as independently - Adaptability to new challenges with a strong ...

... Stochastic Processes for Engineering/STAT 460 - Intermediate Applied Statistics/STAT 461 - Analysis of Variance STAT 462 - Applied Regression Analysis/STAT 463 - Applied Time Series Analysis/STAT 466 ...

... and stochastic processes - Demonstrated strong oral and written communication - Ability to work in a team environment, as well as independently - Adaptability to new challenges with a strong ...

Solid grounding in probability, stochastic processes, and statistics. * Hands-on experience with pricing models, risk metrics, and financial data. Technical * Advanced Python, including NumPy, Pandas ...

Solid grounding in probability, stochastic processes, and statistics. * Hands-on experience with pricing models, risk metrics, and financial data. Technical * Advanced Python, including NumPy, Pandas ...

Solid grounding in probability, stochastic processes, and statistics. * Hands-on experience with pricing models, risk metrics, and financial data. Technical * Advanced Python, including NumPy, Pandas ...

... and stochastic processes - Demonstrated strong oral and written communication - Ability to work in a team environment, as well as independently - Adaptability to new challenges with a strong ...

Solid grounding in probability, stochastic processes, and statistics. * Hands-on experience with pricing models, risk metrics, and financial data. Technical * Advanced Python, including NumPy, Pandas ...

Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes * Experience working in areas of modeling and ...

Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes * Experience working in areas of modeling and ...

Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes ...

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Stochastic Processes information

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$41K

$84.1K

$151K

How much do stochastic processes jobs pay per year?

As of Jun 29, 2026, the average yearly pay for stochastic processes in the United States is $84,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Stochastic Processes position, and why are they important?

To excel in a Stochastic Processes role, you need a strong background in probability theory, mathematical modeling, statistical analysis, and typically a degree in mathematics, statistics, or a related quantitative field. Proficiency with tools such as MATLAB, R, Python, or specialized simulation software, as well as relevant certifications in data analysis or quantitative finance, is often required. Strong problem-solving abilities, attention to detail, and the ability to communicate complex concepts clearly are key soft skills in this field. These skills are vital to effectively analyze random systems, model uncertainty in real-world scenarios, and help guide data-driven decision-making across numerous industries.

What is a Stochastic Processes job?

A Stochastic Processes job typically involves working with mathematical models that incorporate randomness and uncertainty. Professionals in this field analyze and apply probabilistic methods to various domains, such as finance, engineering, machine learning, and operations research. Common tasks include developing statistical models, simulating random systems, and optimizing decision-making under uncertainty. These roles often require expertise in probability theory, programming, and statistical analysis.

What kinds of projects or problems do professionals working in stochastic processes typically address?

Professionals specializing in stochastic processes commonly tackle projects that involve modeling and predicting random systems, such as financial markets, inventory management, telecommunications networks, or biological processes. Typical responsibilities include developing and testing mathematical models, running simulations, analyzing large datasets, and providing actionable insights to support strategic business decisions. They often collaborate closely with data scientists, engineers, or business analysts depending on the industry, and their work can have a direct impact on optimizing operations or managing risk. Project scopes can range from short-term analyses to longer-term research and development initiatives, offering a dynamic and intellectually stimulating work environment.

More about Stochastic Processes jobs
What are the most commonly searched types of Stochastic Processes jobs? The most popular types of Stochastic Processes jobs are:
Infographic showing various Stochastic Processes job openings in the United States as of June 2026, with employment types broken down into 100% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $84,057 per year, or $40.4 per hour.
Signal and Information Processing Research Scientist

Signal and Information Processing Research Scientist

Metron

Reston, VA โ€ข On-site

$120K - $148K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Our Reston, VA office is seeking a motivated Research Scientist to join a multidisciplinary team of scientists, engineers, and operational specialists. In this role, you will contribute to applied research and development that directly supports realworld National Security Systems.

As a member of our team, you will work on data analysis, signal and information processing, environmental phenomenology characterization, and advanced algorithm development, implementation, and testing. Initial assignments will focus on undersea acoustic signal processing and arraybased methods, with opportunities to expand into additional domains as projects evolve.

This position is wellsuited for earlycareer researchers who want to build deep technical expertise while contributing to impactful nationalsecurity work. You will receive mentoring and handson training from experienced researchers, gaining exposure to modern signal processing techniques and established best practices. This role provides the opportunity to work directly with realworld operational data whose results contribute to systems that support and benefit our military and nationalsecurity partners.

Required Qualifications:

  • Bachelor's degree in electrical engineering, physics, mathematics, or a related technical field.
  • Demonstrated experience in signal processing from industry or coursework.
  • Ability to research, implement, and evaluate advanced processing methods.
  • Demonstrated knowledge in one or more sensing domains such as sonar, radar, SIGINT, or related sensing domain.
  • Demonstrated knowledge in one or more technical subjects, such as statistical adaptive array and multichannel processing, stochastic processes and applications, detection and estimation theory, tracking, classification, fusion or related field.
  • Ability to work in small groups and contribute to long-term development tasks minimal oversight.
  • Proficiency in prototyping simple and complex concepts in MATLAB and/or Python.
  • US CITIZENSHIP REQUIRED; successful candidates will be subject to a security investigation and must meet eligibility requirements for access to classified information.

Desired Qualifications

  • Active DoD Secret security clearance.
  • Advanced degree in electrical engineering, physics, mathematics, or a related field.
  • Experience in mathematical/physical modeling, simulation, and performance analysis.
  • Experience preparing clear, wellstructured technical reports or documentation for internal or customer review.
  • Experience working with large, diverse or complex data sets.
  • Programming experience in Java or C/C++.

Position Location: Reston, VA

*The selected individual will be expected to work onsite in the Reston, VA office.ย 

Perks and Benefits:ย 

  • Medical, Dental and Vision Insuranceย 
  • Accompanying FSA and HSA optionsย 
  • Additional Voluntary Benefitsย ย 
  • Paid Time Offย ย 
  • 9 Observed Holidays and 2 Floating Holidaysย ย 
  • Paid Parental Leaveย ย 
  • Tuition Reimbursementย 
  • Relocation benefitsย 
  • Professional Development Reimbursementย 
  • Annual Salary Reviewsย ย 
  • Profit Sharingย ย 
  • 401(k) Traditional and Roth Optionsย ย 
  • Gym and Fitness Reimbursementย ย 
  • Employee Assistance Programย ย 
  • Employee Referral Programย