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Probability Theory Stochastic Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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.

Senior RF Data Link Engineer

Tucson, AZ • On-site

Raytheon
Guided Missile and Space Vehicle Manufacturing • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


RTX rating

8.2

Company rating: 8.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz


Job description

Date Posted:

2026-03-18

Country:

United States of America

Location:

US-AZ-TUCSON-M02 ~ 1151 E Hermans Rd ~ BLDG M02

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

The Advanced Effector Guidance Systems is currently searching for Electrical Engineers who have experience designing wireless communication and data links. This position focuses on designing and testing wireless communication and data link systems, supporting a range of tactical missile programs. As part of the RF Products department, you will contribute to cutting-edge advancements in high-capacity, covert, and agile data link technologies for space-based and terrestrial RF applications.

The Data Link subsystems team develops the next generation of high capacity, covert, and agile data links. From space based to terrestrial RF links, Raytheon develops RF data link subsystems for the most challenging environments. As a member of this team within the RF Products department your tasks may include:

  • Communications systems design

  • Data link hardware development

  • Algorithm development

  • Digital signal processing

What You Will Do

  • Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for data link communication applications.

  • Perform hardware and software Communication Architecture trade studies.

  • Develop, prototype, and test data link models and communication signal processing algorithms in detailed high-fidelity simulations and support hardware implementation.

  • Collaborate with customers and stakeholders to understand requirements, provide technical support, and manage program delivery schedules.

  • Provide engineering support through participation in project design reviews, peer reviews, briefings to internal leadership and external customers for all phases of development tasks.

Qualifications You Must Have

  • Typically requires a Bachelors Degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience 

  • A minimum of five (5) years of experience in programming and / or simulation experience in MATLAB, SIMULINK, C/C++, or equivalent language.

  • Five (5) years of experience and / or coursework with two or more of the following categories:

  • Communication theory

  • Digital signal processing

  • 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 communications, communications systems design, data link hardware. development, waveform algorithm development, and digital signal processing.

  • Experience with system engineering of RF subsystems.

  • Experience with waveform simulations using modulations schemes such as: PSK, FSK, OFDM, and QAM.

  • Familiar with common RF impairments: Phase noise, multipath, and Doppler.  Link budget and propagation modeling for end-to-end system evaluation. 

  • Strong understanding of RF transceiver and front-end design and common tradeoffs in RF designs for communication systems.

  • Familiarity with antenna design parameters.

  • Familiarity with fixed point algorithm simulations for VHDL verification. Familiarity with wireless fading model simulation. Knowledge of Layer 2 and above.

  • Strong technical and interpersonal skills with desire to support enterprise initiatives.

  • Ability to prepare documentation with minimal oversight.

  • Background in designing for manufacturability, producibility, and cost constraints.

  • Group management skills, leadership skills and strong communication skills.

  • Strong problem-solving skills with ability to proactively identify alternate solutions to overcome difficult technical challenges.

What We Offer

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

This position is an onsite role located in Tucson, AZ and is eligible for relocation assistance.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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About RTX

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing, it services, aerospace product and parts manufacturing and engineering professional services

Company size

10,000+ Employees

Headquarters location

Waltham, MA, US

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