Senior Data Scientist  - Remote US

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.

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.

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.

Our values drive our actions, behaviors, and performance with a vision for a safer, more