Data Scientist

aero; El Segundo (CA); On-site; USD 95,000 - 143,000; Full time

Job summary

The Aerospace Corporation is seeking a Machine Learning Engineer within the Data Science and Artificial Intelligence Department (DSAID). The selected candidate will work full-time on-site at our El Segundo, CA facility (also Chantilly, VA or Colorado Springs, CO) to research, prototype, and deploy AI-enabled tools across space enterprise.

Responsibilities include developing ML experiments, evaluating models, collaborating across teams, and presenting results to stakeholders.

Qualifications

• Bachelor's degree in Data Science, CS, Electrical/Computer Engineering, Physics or Mathematics
• 2 years of industry experience in Data Science or Machine Learning
• Proficiency in Python
• Development of ML models and inference pipelines
• Familiarity with Unix/Linux operating systems

Responsibilities

• Develop and execute machine learning and data science experiments (NLP, computer vision, time series, reinforcement learning)
• Evaluate technologies and models for scalable, mission-critical applications
• Collaborate with teams to deliver features and products
• Present written and verbal results to customer stakeholders
• Foster an environment of learning and progress within the team

Skills

Python

Team collaboration

Communication skills

Time management

Project management

Education

Bachelor's degree in a STEM field

Tools

Unix/Linux

Cloud infrastructure

ML libraries

Job description

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.

Informatio n 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 e xperience 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

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. The grade-based pay range for this job is listed below. Individual salaries within that range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills.

(Min - Max) $95,200.00 - $142,800.00

Pay Basis: Annual

Leadership Competencies

Our leadership philosophy is simple: every employee, regardless of level and role, ca