Data Scientist

The Aerospace Corporation•El Segundo, CA

10d•$95,200 - $142,800•Onsite

About The Position

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. Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community, DoD, and civilian customers. The Data Science and Artificial Intelligence Department (DSAID) seeks a creative and enthusiastic Machine Learning Engineer 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.). The selected candidate will be required to work full-time on-site at our facility in El Segundo, CA , Chantilly, VA or Colorado Springs, CO.

Requirements

Bachelor's degree in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or related STEM field(s)
2 years of industry experience in Data Science or Machine Learning
Proficiency in programming languages such as Python
Development of machine learning models and inference pipelines
Software development skills including familiarity with machine learning and deep learning libraries in Python
Demonstrated experience with and understanding of machine learning and artificial intelligence, software engineering, and statistics
Familiarity with Unix/Linux operating systems
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

Nice To Haves

Active security clearance
Experience with cloud native application development or cloud infrastructure
Development of data platforms and database deployment
Experience with data security and governance technologies
Deploying machine learning models for inference at scale

Responsibilities

Developing and executing machine learning and data science experiments, in the domains of natural language processing, computer vision, time series analysis, reinforcement learning, etc.
Evaluating technologies and data science models for use in scalable and resilient mission-critical applications
Collaborating with teams of various sizes to deliver features and products
Presenting written and verbal results to customer stakeholders.
Reinforcing an environment of learning and progress with team members and others

Benefits

Comprehensive health care and wellness plans
Paid holidays, sick time, and vacation
Standard and alternate work schedules, including telework options
401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
Flexible spending accounts
Variable pay program for exceptional contributions
Relocation assistance
Professional growth and development programs to help advance your career
Education assistance programs
An inclusive work environment built on teamwork, flexibility, and respect