Senior Data Scientist

The Aerospace Corporation • El Segundo, CA

1d

About The Position

The Aerospace Corporation is seeking a Senior Data Scientist for its Office of the CIO’s Data and AI Services team. The team provides advanced modeling, machine learning, and predictive analytics to inform enterprise services operations and support strategic decision-making. This role designs, builds, and optimizes scalable data pipelines and infrastructure so that reliable, timely, and secure data is available across the enterprise. The position works closely with data scientists, software engineers, and mission teams to support analytics, AI/ML initiatives, and critical business operations.

The posting describes requirements for Senior Data Scientist IV and also notes additional minimum requirements for Senior Data Scientist V. The role requires occasional domestic travel to work locations or customer sites, approximately 10%. It requires the ability to obtain and maintain a U.S. government security clearance; U.S. citizenship is required to obtain one.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related STEM field.
• 8–10 years of experience in data engineering, software engineering, or a related technical field for Senior Data Scientist IV.
• Strong proficiency in SQL and at least one programming language such as Python, Java, or Scala.
• Hands-on experience building and maintaining data pipelines using tools such as Apache Airflow, Spark, or Kafka.
• Experience with cloud data platforms such as AWS, Azure, or GCP, including storage, compute, and data-processing services.
• Strong understanding of data modeling, data-warehousing concepts, and database-design principles.
• Willingness to travel occasionally to domestic work locations or customer sites, approximately 10%.
• Ability to obtain and maintain a U.S. government security clearance; U.S. citizenship is required to obtain the clearance.
• For Senior Data Scientist V, at least 10 years of experience in data engineering, software engineering, or a related technical field.
• For Senior Data Scientist V, experience designing, developing, and deploying advanced machine-learning models and statistical analyses in support of space systems engineering and mission assurance.

Nice To Haves

• Ph.D. in Statistics or Computer Science, or an advanced degree in Data Science, Applied Mathematics, or a related STEM field.
• 8 or more years of experience in data science, with prior experience in aerospace, defense, or government environments.
• Experience with cloud-based machine-learning platforms such as AWS SageMaker, Azure ML, or Google Vertex AI.
• Familiarity with natural language processing, computer vision, or deep-learning architectures.
• Experience with MLOps practices, including model monitoring, versioning, and CI/CD pipelines for machine learning.

Responsibilities

• Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse enterprise sources.
• Partner with data scientists, software engineers, and business stakeholders to understand data requirements and deliver reliable, high-quality data solutions.
• Architect and optimize data storage solutions, including relational databases, data lakes, and data warehouses, for analytics and reporting.
• Implement data-quality checks, monitoring, and alerting to ensure data accuracy, completeness, and timeliness across pipelines.
• Lead efforts to improve pipeline performance, scalability, and cost-efficiency across cloud and on-premise environments.
• Mentor junior data engineers and promote data-engineering best practices, including code quality, testing, and documentation.
• Collaborate across functions to integrate new data sources and emerging technologies and continuously improve the data platform.
• For Senior Data Scientist V, design, develop, and deploy advanced machine-learning models and statistical analyses in support of space systems engineering and mission assurance.

Benefits

• Comprehensive health care and wellness plans.
• Paid holidays, sick time, and vacation.
• Standard and alternate work schedules, including telework options.
• 401(k) plan with a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service, plus matching contributions; employees are immediately eligible and vested upon hire.
• Flexible spending accounts.
• Variable pay program for exceptional contributions.
• Relocation assistance.
• Professional growth and development programs.
• Education assistance programs.
• Inclusive work environment built on teamwork, flexibility, and respect.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior