Senior Principal Data Science Developer

Senior Principal Data Science Developer – Raytheon

Date Posted:

Country: United States of America

Location: RAZ
99: RTN Remote, Arizona

Position Role Type: Remote

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

Security Clearance: None/Not Required

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 Data Scientist to join our Digital Technology Analytics & Automation Applied Artificial Intelligence team.

As a Senior Principal Data Scientist, 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 Raytheon, RTX, 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 professionals.

• Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years 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 database management and SQL development
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract

• Experience meeting with business stakeholders to identify and develop requirements for strategic use cases and research opportunities
• Experience applying quantitative techniques (normalization, standardization, applied statistics) to cleanse and explore large, complex data sets in preparation for further analysis
• 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, Tensor Flow
• Experience building data visualizations with applications such as Tableau, Microsoft Power
  
  BI, etc.
• Experience with commercial software development processes: good software hygiene regarding code documentation, unit testing, bug tracking, version control, MLOps concepts, processes, and technologies
• Familiarity deploying machine learning models in public cloud services such as AWS, or Azure
• Experience with Complex Neural Net architectures and high performance compute management tools (i.e. Slurm, HTCondor)
• Track record of GPU programming, network optimization and deployment for data science applications

• 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

Remote:
This position is currently designated as remote. Employees who are working in remote roles will work primarily off‑site (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…