SAIC

Data Scientist Principal

SAIC$135K — $160K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree with 9+ years of experience, Master's with 7+, PhD/JD with 4+, or equivalent experience.
  • Active Top Secret/SCI clearance with Polygraph.
  • 5+ years in software engineering related to IC, DoD, or commercial space sectors.
  • Hands-on experience in data analytics, machine learning, and statistical methods.
  • Familiarity with AI, ML, and modern statistical techniques.
  • Strong problem-solving skills and initiative in team environments.
  • Excellent communication skills for technical discussions and high-tempo collaboration.

Responsibilities

  • Design and manage data sets for efficient flow and interoperability.
  • Integrate large, complex data sets that meet cross-organizational needs.
  • Evaluate data quality and reliability across its lifecycle.
  • Collaborate with various stakeholders to prepare data for modeling.
  • Document process improvements for optimized data delivery.
  • Conduct testing and validation to ensure operational accuracy.
  • Ensure data compliance and promote ethical data use.

Benefits

  • Support for professional development and continuous learning.
  • Health and wellness programs available to employees.
  • Opportunities to work on cutting-edge technology projects.
  • Engagement with a diverse and collaborative team environment.
  • Contributions to national security through impactful work.
Full Job Description
Job Description

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.

Key duties of this position include (but are not limited to):
  • 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.


Qualifications

Required Education and Experience:
  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree.
  • Active Top Secret/SCI with Poly
  • 5+ years of experience in software engineering with IC, DoD, and/or commercial space architectures, systems, and/or operations.
  • Hands-on practical experience with data analytics, machine learning, and statistical methods.
  • Experience in applying modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics.
  • Demonstrated high level of initiative, creative problem-solving, and critical thinking. - Demonstrated capability and success working in team environments.
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high tempo environment.
  • Good working knowledge of MS Office applications.


About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ

Similar Jobs

More Jobs at SAIC

More Aerospace & Defense Jobs

Find similar Data Scientist Principal jobs: