Data Science II

RTX; Plano (TX); On-site; USD 69,000 - 131,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

RTX is seeking a Data Scientist II to support Radar Sensor Systems in Plano, TX. This onsite role collaborates with Applied AI and engineering teams to deliver analytics products for manufacturing, engineering, and supply chain.

You will design data visualizations using PowerBI/Tableau, analyze large datasets, apply machine learning, and drive data-driven decisions across stakeholders. A STEM degree with 2+ years' experience and DoD Secret clearance are required.

Qualifications

• STEM degree and 2+ years of relevant experience.
• Python (numpy, scipy, scikit-learn) for ML applications.
• Databases management and SQL development.
• Software development practices: documentation, testing, bug tracking, version control, MLOps.
• Active and transferable U.S. government Secret clearance required.

Responsibilities

• Design and develop data visualizations (PowerBI/Tableau) to communicate insights.
• Analyze large data sets and generate actionable reports and recommendations.
• Apply ML algorithms for data cleaning, exploration, and visualization.
• Perform feature engineering to support evidence-based decisions.
• Collaborate with engineering to convey findings and address technical challenges.

Skills

Python development

SQL development

Machine learning

Data visualization

MLOps

Education

STEM degree

Tools

PowerBI

Tableau

Jupyter

Job description

Date Posted: 2026-09-09

Country: United States of America

Location: US-TX-PLANO-465 ~ 465 Independence Pkwy ~ INDEPENDENCE

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: Active and existing security clearance required on day 1

AtRaytheon, 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 engineeringexpertiseto 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.

Raytheon is seeking a Data Scientist II to supportRadar Sensor Systems (RSS).As a Data Scientist II, you will work across functional areas to support the application of data science and software engineering methods and techniques for production-scale internal use and external research. You will collaborate with stakeholders across and the Applied Artificial Intelligence team to develop analytic products for agile delivery, spanning manufacturing, engineering, business development, and supply chain functions.

This role allows you to influence organizational standards by researching and deploying technical solutions for customers as part of a broader ecosystem of machine learning and advanced analytics professional. This is an onsite role in Plano, TX.

What You Will Do:

• Design and develop data visualizations using tools such as PowerBI, Tableau, or similar platforms to communicate insights effectively.
• Perform data analysis on large, complex data sets, generating actionable reports and recommendations.
• Utilize experience with various databases for data input, report generation, and data management.
• Apply machine learning algorithms for data cleaning, exploratory data analysis, and data visualization.
• Implement data reduction, feature selection, and feature engineering techniques to provide metrics that support evidence-based decision‑making.
• Automate processes to enhance efficiency and scalability in handling large datasets.
• Collaborate with engineering teams to communicate findings and address technical challenges.
• Conduct analysis at all phases of the system lifecycle, including concept, design, modeling, testing, operation, and maintenance.
• Interface with stakeholders, including customers, programming management, and senior leadership, to support data‑driven strategies.

Qualifications You Must Have:

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) disciplineand a minimum of 2 years of prior relevant experience
• Python development (numpy,scipy, scikit‑image, and scikit‑learn) for integration into statistical and/or machine learning applications (beyond academic examples).
• Databases management and SQL development.
• Experience with software development, including documentation, testing, bug tracking, version control, and MLOps
• Active and transferable U.S. government issued Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Qualifications We Prefer:

• Active DoD Top Secret clearance with investigation within five years
• Advanced degree in Science, Technology, Engineering or Mathematics (STEM preferred)
• Programming languages and tools such as Python, scikit‑learn,Jupyter, SQL (Microsoft SQL, MySQL), Tableau, and R.
• Model Based Systems Engineering (Cameo Enterprise Architecture (SysMLspecifically), digital thread concepts, digital engineering, MBSE withDevSecOps).
• Diagnoses and resolve RF and system power issues
• MATLAB/Simulink, DOORS, DNG, Cameo, Jira, and Confluence

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 available for this position

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.

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.