Systems Engineer II - Data Scientist

RTX•Tucson, AZ

1d•Onsite

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. The Processing, Guidance and Controls (PG&C) Center within the Systems Engineering and Test Capabilities (SE&TC) Discipline consists of Guidance, Navigation and Control; Signal Processing; and Modeling, Simulation, and Analysis disciplines for Effectors. The Signal Processing team is seeking a Systems Engineer II – Data Scientist. As the Systems Engineer II – Data Scientist, you will collaborate with a team developing combat decision aids (CDAs) for air and ground platforms utilizing AI/ML techniques. In this role, you will utilize various neural networks in order to achieve system performance objectives. This is an onsite position located in Tucson, AZ.

Requirements

Typically requires a Bachelor’s Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 2 years of prior relevant experience.
Experience with an object-oriented programming language.
Experience with MATLAB or Python for analysis of data sets.
Experience with data analysis, data visualization, and/or presentation of data.
Ability to obtain an Interim Top Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Nice To Haves

Advanced Degree in Electrical Engineering, Computer Engineering, Physics, or Math.
Experience with version control tools such as Azure DevOps and Git.
Strong communication skills, capable of presenting analysis to technical and non-technical audiences.
Ability to interface with adjacent engineering disciplines such as Guidance, Navigation, and Control; Software Engineering; Systems Engineering; or Hardware Engineering.

Responsibilities

You will act as an established and productive professional with theoretical to advanced knowledge of artificial intelligence and machine learning (AI/ML) to support development, execution, and completion of difficult and sometimes complex program objectives.
You will engage with multiple missile programs to assess performance of neural networks in accordance with requirements.
You will support design reviews, peer reviews, and technical briefings to teams within and outside your own discipline.
You will use and modify simulations for the design, development, prototyping, integration, testing, and performance assessment of signal processing algorithms and models.