Data Scientist

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. 

What Corporate Skills You’ll Bring  

• Strong written and oral communication skills  

• Must work well in a team environment  

• Possess organizational, time management and project management skills  

• Demonstrate flexibility and ability to adapt to changing organizational need  

• Interpersonal skills to coordinate efforts and work with other internal and external organizations 

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 Science specialists work on teams spanning various disciplines, experience levels, and organizational boundaries. 

•   Primary functions include: 

• 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 

• Duties, responsibilities and activities may change, or new ones may be assigned as needed 

What You Need to be Successful   

Minimum 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 

How You Can Stand Out   

It would be impressive if you have one or more of these:  

• 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