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Data Scientist
4 months ago
The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.
At Aerospace, we are committed to providing an inclusive and diverse workplace for all employees to share in our common passion and aspiration - to carry out a mission much bigger than ourselves.
The Data Science and Artificial Intelligence Department (DSAID) seeks a creative and enthusiastic Data Scientist to join a diverse team of engineers, data scientists, and programmers with a passion for researching, prototyping, understanding, and building AI and data enabled tools across the space enterprise.
We are a growing, innovative, and collaborative department that makes meaningful contributions to National Security Space (AF, NRO, etc.), and Civil and Commercial customers (NASA, MDA, DHS, etc.).
Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision. They are team-oriented, take initiative, are focused on developing cutting-edge technologies and frameworks, and are comfortable balancing a variety of projects spanning internally funded research and development to direct customer support for mission-critical space systems. They may mentor other staff members, begin to specialize in a discipline of interest, and begin to provide technical input and leadership on their projects.
Work Model
This position can be hybrid with 3 days per week at minimum onsite work in El Segundo, CA or Chantilly, Va.
What You’ll Be Doing
- DSAID’s customers range from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc.) and commercial (commercial space, autonomous vehicles, etc.)
- DSAID applies data science and AI knowledge across the space enterprise, to Aerospace enterprise capabilities, and towards corporate workforce development and strategic focus areas
- Data Scientists learn and develop their skills by working on teams spanning disciplines, experience levels, and organizational boundaries
Primary functions include:
- Coordinated development and execution of experiments
- Coordinated development of proof-of-concept infrastructure configuration and software prototypes
- Collaboration with small, innovative teams to deliver features and products
- Written and verbal presentation of results to team members and stakeholders
- Reinforcing an environment of learning and progress with team members and others
Focus on accountability and innovation in leadership competency development
Duties, responsibilities and activities may change, or new ones may be assigned as needed
Data scientists must maintain a commitment to ongoing learning in order to stay current with government missions and the ever-changing climate of data science and AI. This requires both ongoing education in relevant domains, such as physics, math, and/or computer science, as well as an understanding of the existing systems and future objectives of government missions.
- This position can be filled as an Senior Member Technical Staff or Engineering Specialist_
What You Need to be Successful
- Minimum Requirements: Senior Member of Technical Staff_
- Bachelors or Master’s degree from an accredited program in Computer Science, Computer Information Systems, Electrical or Computer Engineering, Physics, Mathematics or related field(s)
- 5 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain
- Software development skills including familiarity with machine learning and deep learning libraries in Python
- Some experience with and understanding of software engineering concepts (DevOps, algorithms, data structures, etc.)
- Experience with and understanding of machine learning and statistics
- Working knowledge of Unix/Linux operating systems
- Demonstrated ability to cooperate as a member of a team
- This position requires ability to obtain and maintain a security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance.
What You Need to be Successful
- Minimum Requirements: Engineering Specialist_
- Bachelors or Master’s degree from an accredited program in Computer Science, Computer Information Systems, Electrical or Computer Engineering, Physics, Mathematics or related field(s)
- 8 or more years of experience in
