Data Scientist

The Aerospace Corporation is seeking a Data Scientist / Machine Learning Engineer to design and conduct machine learning and data science experiments and apply AI capabilities to mission-critical applications across the space enterprise. This role is full-time and on-site, with locations including El Segundo, CA, Chantilly, VA, or Colorado Springs, CO, and requires the ability to obtain and maintain a US security clearance.

Responsibilities

• Apply data science and AI knowledge across Aerospace enterprise capabilities, aligned to corporate workforce development and strategic focus areas.
• Develop and execute machine learning and data science experiments, including areas such as natural language processing, computer vision, time series analysis, and reinforcement learning.
• Evaluate technologies and data science models for suitability in scalable and resilient mission-critical applications.
• Collaborate with teams of various sizes to deliver features and products.
• Share written and verbal results with customer stakeholders.
• Support a culture of learning and progress with team members and others.
• Duties, responsibilities, and activities may change, or new ones may be assigned as needed.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related STEM field.
• At least 2 years of industry experience in Data Science or Machine Learning.
• Proficiency in programming languages such as Python.
• Experience developing machine learning models and inference pipelines.
• Software development skills, including familiarity with machine learning and deep learning libraries in Python.
• Demonstrated experience and understanding of machine learning and artificial intelligence, software engineering, and statistics.
• Familiarity with Unix/Linux operating systems.
• Ability to obtain and maintain a security clearance issued by the US government, including US citizenship to obtain a security clearance.

Technologies

• Python
• Machine learning
• Deep learning libraries
• Natural language processing
• Computer vision
• Time series analysis
• Reinforcement learning
• Unix/Linux operating systems

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.

Additional Skills and Qualifications

What 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.

Leadership Competencies

• Operate Strategically
• Lead Change
• Engage with Impact
• Foster Innovation
• Deliver Results

Location and Compensation

• Location: El Segundo, CA (onsite). Additional on-site locations include Chantilly, VA, and Colorado Springs, CO.
• Salary: USD 95,200 to 142,800 per year.
• Employment type: Full-time on-site (with telework options as noted in benefits).