Data Scientist Principal

SAIC • Chantilly, VA

1d • Onsite

About The Position

SAIC is hiring a Data Scientist Principal to deliver Systems Engineering Technical Advisor (SETA) supporting a program based in Chantilly, VA. This role will contribute to the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED), which oversees the acquisition and lifecycle management of systems from inception to deployment and operations. As the Data Scientist Principal you will support the analysis of complex data to drive strategic mission efforts. The role supports the resolution of operational and systems problems into data-driven solutions, guides analytic strategy, and advises leadership on mission impact, model risk, and data-informed tradeoffs.

Requirements

• Systems Engineering Technical Advisor (SETA) support
• Analysis of complex data
• Resolution of operational and systems problems into data-driven solutions
• Guiding analytic strategy
• Advising leadership on mission impact, model risk, and data-informed tradeoffs
• Designing and managing data sets
• Ensuring efficient data flow and interoperability
• Collection and integration of large, complex data sets
• Evaluating data quality, reliability, and efficiency
• Collaboration with data scientists, software developers, operators, project managers, and clients
• Preparing data for predictive modeling
• Documenting internal process improvements
• Optimizing data delivery
• Automating manual processes
• Testing and validation procedures
• Ensuring operational platforms function correctly
• Gathering user feedback
• Identifying issues
• Conducting updates
• Performing routine quality assurance checks
• Development of essential technical documentation
• Documenting processes, system specifications, and modifications
• Data compliance with regulations
• Developing guidance
• Promoting ethical use of developed platforms, data repositories, and relevant technical records

Responsibilities

• Supports designing and managing data sets to ensure efficient data flow and interoperability with existing and emerging programs.
• Supports the collection and integration of large, complex data sets that meet cross-organizational requirements.
• Evaluates data quality, reliability, and efficiency throughout the data lifecycle.
• Collaborating with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling.
• Documents internal process improvements to optimize data delivery and automate manual processes.
• Supports testing and validation procedures to ensure operational platforms function correctly, including the ability to gather user feedback, identify issues, conduct updates, and perform routine quality assurance checks.
• Supports the development of essential technical documentation for reference and reporting, which includes documenting processes, system specifications, and modifications.
• Supports data compliance with regulations, develop guidance, and promote ethical use of developed platforms, data repositories, and relevant technical records.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed