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# Senior Data Scientist

- **Company:** The Aerospace Corporation
- **Location:** El Segundo, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $135,200.0 - $228,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Computer Vision, Microsoft Azure, Software Quality, Information Systems, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Database Design, Monitoring of Systems, Python (Programming Language), Machine Learning, Cloud Services, Azure Machine Learning, Software Engineering, SQL Databases, Management of Software Versions, Data Processing, Data Storage Technologies, Apache Spark, Google Vertex AI, Deep Learning, Data Lakes, Information Technology, Apache Kafka, Machine Learning Operations, Data Pipelines, Programming Languages
- **Published:** October 22, 2026
- **Apply:** https://aero.wd5.myworkdayjobs.com/External/job/El-Segundo-CA/Senior-Data-Scientist_R017014

## About the Role

* 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
 * 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 (e.g., AWS, Azure, or GCP), including services for storage, compute, and data processing
 * Strong understanding of data modeling, data warehousing concepts, and database design principles
 * Willing to travel occasionally to work locations or customer sites domestically, approx. 10%
 * This position requires the ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance.

In addition to the above, the minimum requirements for the Senior Data Scientist V include:

 * A minimum of 10 or more years data engineering, software engineering, or a related technical field

 * Experience in designing, developing, and deploying advanced machine learning models and statistical analyses in support of space systems engineering and mission assurance., * PhD in Statistics, Computer Science, Advanced degree in Data Science, Applied Mathematics, or a related STEM field
 * 8+ years of experience in data science, with prior experience in aerospace, defense, or government environments
 * Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI)
 * Familiarity with natural language processing (NLP), computer vision, or deep learning architectures
 * Experience with MLOps practices, including model monitoring, versioning, and CI/CD pipelines for machine learning

## Description

We are looking for a Senior Data Scientist. This role will design, build, and optimize scalable data pipelines and infrastructure that enable reliable, timely, and secure access to data across the enterprise. This position offers the opportunity to work closely with data scientists, software engineers, and mission teams to ensure that high-quality data is available to support advanced analytics, AI/ML initiatives, and critical business operations.

What You'll Be Doing

 * Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources across the enterprise
 * 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, to support analytics and reporting needs
 * Implement data quality checks, monitoring, and alerting to ensure the accuracy, completeness, and timeliness of data across pipelines
 * Lead efforts to improve pipeline performance, scalability, and cost-efficiency across cloud and on-premise environments
 * Mentor junior data engineers and promote best practices in data engineering, including code quality, testing, and documentation (Fosters Innovation, Leads Change)
 * Collaborate cross-functionally to support the integration of new data sources and emerging technologies, driving continuous improvement in the data platform (Operates Strategically)