Data Scientist

A trusted partner. A national resource. A leader in national security space. We are THE Aerospace Corporation.  A team that takes pride in our readiness to solve some of the most complex technical challenges in existence. With challenges spanning government to commercial, you’ll have the unique opportunity to work on projects that are evolving our nation's space and launch capabilities. We all share a common passion and aspiration – to serve a mission much bigger than ourselves.  When you join our team, you’ll be part of a rare collection of thought leaders and game-changing innovators.  Are you ready to launch your career? 

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. This position is in the Data Science and Artificial Intelligence Department (DSAID). 

Work Model 

This is a full-time position based in Colorado Springs, CO, offering a Hybrid work model that combines 4 regular onsite workdays and remote flexibility as business needs allow. 

What You’ll Be Doing 

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. 

• Advising, prototyping, and integrating data science and AI technologies. 

• Establishing and maintaining strategic partnerships with key stakeholders 

• Working on teams spanning various disciplines, experience levels, and organizational boundaries. 

• Spearheading cutting-edge applied research and development efforts 

• Helping to shape AI strategy, roadmaps, research priorities, and investment decisions 

• Evaluating technologies and data science models for use in scalable and resilient mission-critical applications 

• Building and leading innovative teams to develop ML algorithms and application prototypes 

• Presenting written and verbal results to customer stakeholders and the larger aerospace community 

• Reinforcing an environment of learning and progress with team members and colleagues 

• Mentoring team members 

• Committing to ongoing learning  

• Maintaining current working knowledge in data science and AI as well as foundational skills in relevant domains, such as physics, math, and/or software engineering 

• Developing a deep understanding of government systems and government missions.  

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

What You Need to be Successful 

Minimum Requirements: 

• Advanced degree in STEM with emphasis in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or related field(s) 

• 6 or more years of professional experience as a data scientist, machine learning engineer, or AI/ML researcher in any domain 

• Experience with applied AI to Defense or Intelligence Community domains 

• Software development skills including familiarity with machine learning and deep learning libraries in Python 

• Experience with and understanding of software engineering concepts (algorithms, data structures, DevOps, version control, coding standards, etc.) 

• Experience with and understanding of machine learning and artificial intelligence, software engineering, and statistics 

• Proven ability to take initiative and successfully complete tasks, lead complex technical projects, and collaborate effectively. 

• 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: 

• Experience in leading large sets of diverse teams to accomplish difficult applied AI goals in the DoD enterprise 

• Demonstrated ability to efficiently deliver analysis and insights using compelling data visualizations to broad audiences from data that is often large, unstructured, or unprocessed  

• Experience in software engineering and machine learning development best practices (e.g. code, model, and data set version control, experiment tracking and reproduction) 

• Demonstrated contributions to open-source software repositories (github, kaggle, etc.) 

• Experience with containerization platforms (Docker, Kubernetes) and deploying ML models within applications or on cloud platforms (AWS, Azure, etc.) 

• Active security clearance