Posted today
Top Secret
$68,900 - $131,100
Unspecified
IT - Data Science
Tucson, AZ (On-Site/Office)
Date Posted:
2026-02-10
Country:
United States of America
Location:
US-AZ-TUCSON-842 ~ 1151 E Hermans Rd ~ BLDG 842
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: Top 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 Processing, Guidance and Controls (PG&C) Center within the Systems Engineering and Test Capabilities (SE&TC) Discipline consists of Guidance, Navigation and Control; Signal Processing; and Modeling, Simulation, and Analysis disciplines for Effectors.
The Signal Processing team is seeking a Systems Engineer II - Data Scientist.
As the Systems Engineer II - Data Scientist, you will collaborate with a team developing combat decision aids (CDAs) for air and ground platforms utilizing AI/ML techniques. In this role, you will utilize various neural networks in order to achieve system performance objectives. This is an onsite position located in Tucson, AZ.
What You Will Do
Qualifications You Must Have
Qualifications We Prefer
What We Offer
Learn More & Apply Now!
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 68,900 USD - 131,100 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.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
2026-02-10
Country:
United States of America
Location:
US-AZ-TUCSON-842 ~ 1151 E Hermans Rd ~ BLDG 842
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: Top 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 Processing, Guidance and Controls (PG&C) Center within the Systems Engineering and Test Capabilities (SE&TC) Discipline consists of Guidance, Navigation and Control; Signal Processing; and Modeling, Simulation, and Analysis disciplines for Effectors.
The Signal Processing team is seeking a Systems Engineer II - Data Scientist.
As the Systems Engineer II - Data Scientist, you will collaborate with a team developing combat decision aids (CDAs) for air and ground platforms utilizing AI/ML techniques. In this role, you will utilize various neural networks in order to achieve system performance objectives. This is an onsite position located in Tucson, AZ.
What You Will Do
- You will act as an established and productive professional with theoretical to advanced knowledge of artificial intelligence and machine learning (AI/ML) to support development, execution, and completion of difficult and sometimes complex program objectives.
- You will engage with multiple missile programs to assess performance of neural networks in accordance with requirements.
- You will support design reviews, peer reviews, and technical briefings to teams within and outside your own discipline.
- You will use and modify simulations for the design, development, prototyping, integration, testing, and performance assessment of signal processing algorithms and models.
Qualifications You Must Have
- Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 2 years of prior relevant experience.
- Experience with an object-oriented programming language.
- Experience with MATLAB or Python for analysis of data sets.
- Experience with data analysis, data visualization, and/or presentation of data.
- Ability to obtain an Interim Top Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
Qualifications We Prefer
- Advanced Degree in Electrical Engineering, Computer Engineering, Physics, or Math.
- Experience with version control tools such as Azure DevOps and Git.
- Strong communication skills, capable of presenting analysis to technical and non-technical audiences.
- Ability to interface with adjacent engineering disciplines such as Guidance, Navigation, and Control; Software Engineering; Systems Engineering; or Hardware Engineering.
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.
- Relocation Eligible - relocation assistance is available for this position
Learn More & Apply Now!
- Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
- This position requires onsite work in Tucson, AZ: https://careers.rtx.com/global/en/raytheon-tucson,-az-location
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 68,900 USD - 131,100 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.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
group id: 10116815
At RTX, we're a diverse team of explorers united in our goal to push the boundaries of known science – and solve the world's most complex problems.
