Senior Data Scientist
About The Position
The Aerospace Corporation’s Office of the CIO has established a Data and AI Services team that provides advanced modeling, machine learning, and predictive analytics to inform enterprise services operations and support strategic decision-making. The Senior Data Scientist will design, build, and optimize scalable data pipelines and infrastructure, enabling reliable, timely, and secure enterprise data access. The role works closely with data scientists, software engineers, stakeholders, and mission teams to provide high-quality data for analytics, AI/ML initiatives, and business operations. The position calls for a Senior Data Scientist IV, with additional requirements stated for level V. It requires a bachelor’s degree in a related STEM field and 8–10 years of relevant technical experience at level IV. Candidates must be willing to travel domestically to work locations or customer sites approximately 10% of the time and be able to obtain and maintain a U.S. government-issued security clearance; U.S. citizenship is required for clearance eligibility.
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 with 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, approximately 10%, to domestic work locations or customer sites.
- Ability to obtain and maintain a U.S. government-issued security clearance; U.S. citizenship is required to obtain a clearance.
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 data science experience, 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 that 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 relational databases, data lakes, and data warehouses to support analytics and reporting.
- Implement data quality checks, monitoring, and alerting to ensure data accuracy, completeness, and timeliness across pipelines.
- Improve pipeline performance, scalability, and cost-efficiency across cloud and on-premise environments.
- Mentor junior data engineers and promote best practices in code quality, testing, and documentation.
- Collaborate across functions to integrate new data sources and emerging technologies and continuously improve the data platform.
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 company-paid benefits 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
