Lead Applied Imagery Scientist and Data Scientist

Raytheon; Virginia (MN); On-site; USD 118,000 - 225,000; Full time

Benefits offered by this job

Benefits package

Annual incentive programs

Job summary

Raytheon’s Mission Applied Science & Technology (MAST) directorate seeks a Lead Applied Imagery Scientist and Data Scientist with deep experience using machine learning including neural networks and computer vision to develop research prototypes, and transition them to production-grade analytics pipelines to join the MAST AIML Solutions team.

The MAST directorate is an energetic multi-disciplinary team of over 60 engineers working collaboratively with internal and external customers to develop

Qualifications

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.
• Experience in software development, using Python, Java, IDL, R, or other open source high level language used in data science.
• Experience developing, training, and evaluating machine learning models, including deep neural networks; optimizing model performance and conducting validation across large, datasets.
• Experience developing algorithms for large, datasets, in geospatial, sensing, and imagery data; in computer-vision applications
• An active and transferable U.S. government issued TS/SCI security clearance is required prior to start date.

Responsibilities

• Design, develop, and deliver new features for Python and Java machine learning and AI applications.
• Train, evaluate, and refine machine learning models using geospatial and imagery data.
• Develop and integrate new algorithms for machine learning, computer vision, and imagery science workflows.
• Maintain, optimize, and extend existing codebases to improve performance, scalability, and reliability.
• Communicate progress, technical insights, and risks to leadership within an Agile environment.

Skills

Machine learning

Deep learning

Computer vision

Geospatial data

Education

STEM degree

Tools

Python

Java

IDL

R

Job description

Location

US-VA-DULLES-710 ~ 22110 Pacific Blvd ~ BLDG 10

Date Posted

2026-09-09

Country

United States of America

Location

US-VA-DULLES-710 ~ 22110 Pacific Blvd ~ BLDG 10

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

TS/SCI with Polygraph

Security Clearance Status

Active and existing security clearance required on day 1

Company Overview

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.

Role

Raytheon’s Mission Applied Science & Technology (MAST) directorate is seeking a Lead Applied Imagery Scientist and Data Scientist with deep experience using machine learning including neural networks and computer vision to develop research prototypes, and transition them to production-grade analytics pipelines to join the MAST AIML Solutions team. The MAST directorate is an energetic multi-disciplinary team of over 60 engineers working collaboratively with internal and external customers to develop novel solutions for data science and emerging technology applications. Our team pushes the boundaries of innovation and creativity to establish next-generation mission solutions from system-level up to campaign level.

Workstation

This position is onsite. You will be required to work at our Dulles, VA facility and/or the customer facility in Springfield, VA.

What You Will Do

• Partner with a multi‑disciplinary team to design, develop, and deliver new features for Python and Java machine learning and AI applications
• Train, evaluate, and refine machine learning models using geospatial and imagery data
• Develop and integrate new algorithms for machine learning, computer vision, and imagery science workflows
• Maintain, optimize, and extend existing codebases to improve performance, scalability, and reliability
• Communicate progress, technical insights, and risks to leadership within an Agile environment

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.
• Experience in software development, using Python, Java, IDL, R, or other open source high level language used in data science.
• Experience developing, training, and evaluating machine learning models, including deep neural networks; optimizing model performance and conducting validation across large, datasets.
• Experience developing algorithms for large, datasets, in geospatial, sensing, and imagery data; in computer-vision applications
• An active and transferable U.S. government issued TS/SCI security clearance is required prior to start date.

Qualifications We Prefer

• Advanced experience with EO image processing, including a strong understanding of analytic use cases across MSI, HSI, IR, and low‑light imaging.
• Practical experience applying Markov Chain methods for modeling, analysis, or algorithm development.
• Experience optimizing software for specific hardware architectures, including instruction‑level tuning and performance profiling.
• Proficiency in vectorized mathematical computations on large datasets
• Hands‑on experience with both CPU and GPU processing, including parallelization strategies and performance optimization for large‑scale workloads

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.

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.

This position requires a TS/SCI security clearance.

The salary range for this role is 118,300 USD - 224,900 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.