Lead Applied Imagery Scientist and Data Scientist

Prattwhitney; Sterling (VA); On-site; USD 118,000 - 225,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

Short-term disability

Long-term disability

401(k) match

Flexible schedules

Employee assistance program

Scholar program

Job summary

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

This onsite role requires work at the Dulles, VA facility and/or the customer facility in Springfield, VA, collaborating with a multidisciplinary team to push the

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 languages used in data science.
• 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 for performance, scalability, and reliability.
• Communicate progress, technical insights, and risks to leadership in an Agile environment.

Skills

Python

Java

IDL

R

ML models

Geospatial data

Computer vision

Education

STEM degree

Job description

Job Details

Date Posted: 2026-09-09

Country: United States of America

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

Position Role Type: Onsite

Eligibility & Requirements

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.

This position requires a TS/SCI security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm.

About the Company

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.

RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry‑leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.

Role Summary

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.

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

• 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

Preferred Qualifications

• 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

Benefits

• 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
• 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.

Compensation

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.

Application Window

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.

Equal Opportunity Employer

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.