Senior Principal Data Scientist
About The Position
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. This is a hybrid role based in Tucson, Arizona.
Requirements
- 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 databases management and SQL development.
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Nice To Haves
- Experience meeting with business stakeholders to identify and develop requirements for strategic use cases and research opportunities, and translating these into scalable data products using Scaled Agile Framework methodology.
- Proficiency in applying quantitative techniques (normalization, standardization, applied statistics) to cleanse, explore, and analyze large, complex data sets and build machine learning models, including deploying models in public cloud environments such as AWS or Azure.
- Expertise in designing, training, fine-tuning, and deploying Large Language Models (LLMs) (e.g., GPT-based, Mistral, custom transformer architectures), as well as complex neural network architectures, GPU programming, and network optimization for data science applications.
- Proficiency with at least one deep learning framework, such as PyTorch or TensorFlow, and experience with commercial software development practices, including code documentation, unit testing, version control, and MLOps concepts.
- Experience building data visualizations with tools such as Tableau or Microsoft Power BI and managing high-performance compute tools (e.g., Slurm, HTCondor) to support advanced analytics and machine learning workflows.
Benefits
- Safety
- Trust
- Respect
- Accountability
- Collaboration
- Innovation
- Relocation assistance available, provided final candidate meets eligibility requirements.
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
