Senior Principal Data Science Developer

Job not on LinkedIn

7 hours ago

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

💵 $101k - $203k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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RTX

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Aerospace • Defense • Sustainability

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

10,000+ employees

Founded 2020

🚀 Aerospace

📋 Description

• Work across functional areas to support the application of data science and software engineering methods for production-scale internal use and external research • Collaborate with stakeholders across Raytheon, RTX, and the Applied Artificial Intelligence team • Develop analytic products for agile delivery, spanning manufacturing, engineering, business development, and supply chain functions • Research and deploy technical solutions for customers as part of a broader ecosystem of machine learning and advanced analytics professionals

🎯 Requirements

• U.S. citizenship is required • 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) • Experience with relational databases management and SQL development • Experience meeting with business stakeholders to identify and develop requirements for strategic use cases and research opportunities • Experience applying quantitative techniques to cleanse and explore large, complex data sets • Experience with design, train, fine tune, deploy Large Language Models (LLMs) • Experience creating repeatable, reusable processes and scalable data products with the advanced analytics team • Proficiency with at least one deep learning framework such as PyTorch or TensorFlow • Experience building data visualizations with applications such as Tableau, Microsoft PowerBI • 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 • Track record of GPU programming, network optimization and deployment for data science applications

🏖️ Benefits

• 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