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Stochastic Processes Jobs (NOW HIRING)

The Pennsylvania State University

... 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 ...

pony.ai

Software Engineer Intern - Generalist

Fremont, CA · On-site

$7.0K - $10K/mo

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

Metron

Research Scientist

Reston, VA

We routinely apply stochastic processes, statistical inference, optimization and scheduling, models of random graphs and applied physics to develop the underlying theory and applications for our ...

Jay Analytix Inc

Quantitative Developer

Jersey City, NJ · On-site

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 ...

Leidos

Signal Processing Engineer

San Diego, CA · 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 ...

Leidos

Signal Processing Engineer

Arlington, VA

$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 ...

Leidos

Junior Signal Processing Engineer

San Diego, CA

$69K - $125K/yr

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 ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · Hybrid

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 ...

UNC-Chapel Hill

Department Manager

Chapel Hill, NC

$17.50 - $19.50/hr

Historically, the department helped build the Research Triangle's strength in the statistical and mathematical sciences through its support of the Center for Stochastic Processes, NISS, and SAMSI ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · On-site

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 ...

Jay Analytix

Quantitative Developer

New York, NY · Hybrid

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 ...

Leidos

Junior Signal Processing Engineer

Arlington, VA · On-site

$69K - $125K/yr

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 ...

Leidos

Junior Signal Processing Engineer

Arlington, VA · On-site

$69K - $125K/yr

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 ...

Jay Analytix Inc

Quantitative Developer

New York, NY · On-site

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 ...

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How much do stochastic processes jobs pay per year?

As of Jul 22, 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 jobs use stochastic processes?

Stochastic processes are used in various fields such as finance, engineering, data science, and operations research. Common jobs include quantitative analyst, financial engineer, data scientist, risk analyst, and operations researcher, all of which require modeling uncertainty and analyzing random systems using probabilistic methods and statistical tools.

What are the four types of stochastic processes?

In stochastic processes, the four main types are discrete-time and continuous-time processes, each classified as either stationary or non-stationary. Examples include Markov processes, martingales, and Poisson processes, which are commonly studied in fields like finance, engineering, and data analysis. Understanding these types helps in modeling and analyzing random phenomena effectively.

Is stochastic calculus the hardest math?

Stochastic calculus is a complex area of mathematics used in quantitative finance, engineering, and physics, involving advanced concepts like stochastic differential equations. Its difficulty depends on a person's background in calculus, probability, and differential equations; for some, it is among the more challenging topics in applied mathematics. Mastery often requires strong analytical skills and experience with mathematical modeling.

What is an example of a stochastic process in real life?

A stochastic process in the context of stochastic processes involves random variables evolving over time. An example is stock market price movements, which fluctuate unpredictably and are modeled using probabilistic methods. Such processes are studied in fields like finance and engineering to analyze systems with inherent randomness.

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:
What job categories do people searching Stochastic Processes jobs look for? The top searched job categories for Stochastic Processes jobs are:
Stochastic Processes jobs near you
Infographic showing various Stochastic Processes job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $84,057 per year, or $40.4 per hour.
Software Engineer Intern - Generalist

Software Engineer Intern - Generalist

pony.ai

Fremont, CA

$7.0K - $10K/mo

Other

Re-posted 24 days ago

Job description

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural "XB100" 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.

Responsibility
  • Design and implement algorithms and evaluation metrics to drive core AI decision-making.
  • Build scalable data pipelines and toolchains for large-scale data ingestion, batch processing, and evaluation.
  • Design system-level evaluation metrics, testing frameworks, and simulation environments across business components.

Requirements

  • Strong programming skills in C/C++, Python, and software design
  • Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes, and complexity analysis.
  • Possessing solid engineering discipline, or demonstrating strong interest and potential in building large-scale systems, with the ability to maximize performance while keeping complexity and cost to a minimum.
  • Pursueing a BS/MS or Ph.D in Computer Science or a related field
  • Experience in large data set processing and familiarity with real time systems
  • Solid experience in a fast-paced and structured engineering environment
  • Full stack experience including both front end and back end is preferred
  • Statistics analysis experience is preferred

Note

  • The position is rolling-based and can start anytime.
  • This position is fully onsite in Fremont, at least 3 months.

Compensation

  • Master: $7000/month
  • PhD: $10,000/month

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