Data Scientist

General Dynamics Electric Boat•Groton, CT

8d•Hybrid

About The Position

General Dynamics Electric Boat Department 425, Electrical Systems Embedded Software Engineering, is seeking an accomplished data science professional. We need someone who is self-motivated and can work independently, but also someone with strong leadership potential to be able to grow the scope of the role over time. If you are deeply analytical with a passion for data and details, then this role may be for you. To be successful in this role, the following must describe you well. You are a problem solver and have extensive experience in resolving complex challenges. You are comfortable and proficient communicating with technical and non-technical peers. You enjoy rolling up your sleeves, diving into data, tackling difficult technical tasks, and coding solutions and tools. When you think about data and its usage, you constantly think about the “why” and “what if”. Finding patterns in data is a passion of yours. You’re a professional who acts with a sense of urgency but has a track record of doing things well and following processes and procedures. You are highly proficient in verbal communications and have extensive technical writing expertise. You are someone who takes our Electric Boat values to heart and demonstrates them every day: Value each other, Behave with integrity and purpose, Commit to excellence.

Requirements

A Bachelor of Science degree or higher in Data Science, Computer Science, Mathematics, Statistics, Physics or engineering
Minimally five years of post-graduate engineering experience
Minimally five years of experience developing and deploying AI models using relevant frameworks and libraries (PyTorch, scikit-learn)
Minimally five years of experience with Linux command line (bash and shell scripting)
Minimally five years of experience working with large, complex datasets
Ability to obtain and maintain a Secret security clearance through the Department of Defense

Nice To Haves

Proficiency in writing, testing and debugging code in Python and using tools like Jupyter Notebooks and Google Co-Lab
Proficiency with version control systems or DevOps tools (Git, Docker, Kubernetes)
Master’s degree in Data Science, Computer Science, or equivalent technical degree

Responsibilities

Bridge the gap between data analysis and real-world defense applications for innovative AI/ML solutions.
Help lead efforts in applying new technologies in support of designing and building US Navy Nuclear Submarines.
Use skills with data integration, data visualization, big data and programming to wrangle, preprocess and manipulate data for use in ML algorithms.
Design, develop, test, deploy and tune AI models.
Design, write and review code that consumes, analyzes, and manipulates large data sets.
Develop proficiency with deep learning algorithms, design considerations and methods to overcome limitations and constraints due to hardware or data.
Help establish a new, core data science team.
Collaborate with subject matter experts (SMEs) to understand domain-specific data and requirements across a variety of domains.
Quantify and explain data quality, and perform statistical analysis to describe data and usage.
Discover and articulate use cases for tools and data that account for data limitations.
Contribute to the direction, progress and completion of ML projects.
Create and refine processes and procedures to manage, verify, consume, and distribute data.
Assist in creation of technical proposals, whitepapers, and customer presentations.
Help ensure compliance with data security, AI governance and ethical guidelines.