Senior Data Scientist  - Remote US

Posted An Hour Ago
Be an Early Applicant
Hiring Remotely in VA, USA
Remote
132K-252K Annually
Senior level
Aerospace • Defense
The future of aerospace and defense
The Role
Lead development of analytic products on AWS/Azure, translate complex analyses for leadership, mentor data scientists, apply quantitative techniques to large datasets, and follow software development and MLOps practices to deliver production-ready ML solutions.
Summary Generated by Built In

Date Posted:

2026-08-03

Country:

United States of America

Location:

US-VA-REMOTE

Position Role Type:

Remote

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

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

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.  

Raytheon is seeking an experienced Senior Data Scientist to join our Digital Technology Analytics & Automation Applied Artificial Intelligence team.

What You Will Do

  • Collaborate across Raytheon, and RTX business units to develop analytic products for agile delivery spanning functional and program areas using AWS and Azure platforms

  • Translate complex analytical findings into clear insights and recommendations for senior leadership.

  • Serve as a technical authority and mentor for data scientists, analysts, and business partners.

  • Influence organizational standards by researching and deploying technical solutions for business partners

  • Use commercial software development processes: good software hygiene regarding code documentation, unit testing, bug tracking, version control, MLOps concepts, processes, and technologies for solution development

Qualifications You Must Have

  • Typically requires a University Degree or equivalent experience and minimum 10 years prior relevant experience, or An Advanced Degree in a related field and minimum 7 years of experience

  • Experience with Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into statistical and/or machine learning applications (beyond academic examples).

  • Experience with relational databases management and SQL development.

  • Experience in presenting to executive level management across functional and company

  • Experience applying quantitative techniques (normalization, standardization, applied statistics) to cleanse and explore large, complex data sets in preparation for further analysis.

Qualifications We Prefer

  • Experience meeting with business stakeholders to identify and develop requirements for strategic use cases and research opportunities.

  • Experience with design, train, fine tune, deploy Large Language Models (LLMs) (e.g. GPT-based, Mistral, custom transformer architectures).

  • Experience in creating repeatable, reusable processes and scalable data products with the advanced analytics team using Scaled Agile Framework methodology.

  • Proficiency with at least one deep learning framework such as PyTorch, TensorFlow.

  • Experience building data visualizations with applications such as Tableau, Microsoft PowerBI, etc.

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.

Learn More & Apply Now!

Please consider the following role type definition as you apply for this role. Remote: This position currently is designated as remote. Employees who are working in remote roles will work primarily offsite (from home) but may be expected to travel to the site location as needed. The successful candidate for this role will be required to reside and work from one of the 50 U.S. states (excluding U.S. territories). 

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 132,400 USD - 251,600 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

Skills Required

  • University degree (or equivalent) with minimum 10 years relevant experience, or advanced degree with minimum 7 years experience
  • Experience with Python development (NumPy, SciPy, scikit-image, scikit-learn)
  • Experience with relational database management and SQL development
  • Experience presenting to executive-level management
  • Experience applying quantitative techniques (normalization, standardization, applied statistics) to cleanse and explore large, complex datasets
  • Familiarity with commercial software development practices and MLOps concepts (code documentation, unit testing, bug tracking, version control)
  • Experience meeting with business stakeholders to identify and develop requirements for strategic use cases
  • Experience designing, training, fine-tuning, and deploying Large Language Models (e.g., GPT-based, Mistral, transformer architectures)
  • Experience creating repeatable, reusable processes and scalable data products using Scaled Agile Framework methodology
  • Proficiency with at least one deep learning framework such as PyTorch or TensorFlow
  • Experience building data visualizations with Tableau or Microsoft PowerBI

RTX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RTX and has not been reviewed or approved by RTX.

  • Retirement Support 401(k) programs with company matching and, in some cases, additional employer contributions are emphasized as strengths across business units. Structured retirement elements, including plan variations that add a separate employer contribution, bolster total rewards for many roles.
  • Healthcare Strength Medical, dental, and vision coverage is paired with HSA participation and company seeding, alongside wellness incentives. Core health offerings are presented as comprehensive for many U.S. employees.
  • Leave & Time Off Breadth Generous PTO in some groups and alternative schedules like 9/80 or every‑other‑Friday off expand time‑away options. Year‑end downtime in parts of the organization further enhances perceived flexibility for time off.

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The Company
HQ: Arlington, VA
185,000 Employees
Year Founded: 2020

What We Do

With more than 185,000 global employees, RTX pushes the limits of technology and science to redefine how we connect and protect our world. Through industry-leading businesses – Collins Aerospace, Pratt & Whitney and Raytheon – we are advancing aviation, engineering integrated defense systems and developing next-generation technology solutions and manufacturing to help global customers address their most critical challenges.

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