Bachelor's degree with 2+ years of experience or Master's degree with no experience required.
Active Top Secret Clearance with Polygraph is mandatory.
2 years of systems engineering experience, particularly in software architectures and machine learning.
Familiarity with ontologies, training dataset generation, and responsible AI practices.
Knowledge of Agile software development (Scrum, SAFe) and cloud computing architectures.
Strong initiative, problem-solving, and critical thinking skills.
Proven ability to work effectively in team settings and communicate complex technical matters clearly.
Responsibilities
Conduct data collection and analysis for AI/ML system transparency and explainability.
Support the Government in managing machine learning analytics programs and scaling AI/ML models.
Provide software architecture expertise for future systems planning and contractor oversight.
Assess systems design to identify technical debt and efficiency trade-offs in cloud-based software.
Create briefings and documentation for computer vision tools, including technical roadmaps.
Facilitate technical discussions, resolve issues, and provide engineering advice for automated analytics.
Collaborate with a team of System Engineers and Domain Experts to acquire modern processing applications.
Benefits
Opportunity to work on cutting-edge AI/ML projects in a high-tempo environment.
Collaboration with a team of world-class engineers and domain experts.
Engagement in mission-focused tools that enhance efficiency and automation.
Access to ongoing professional development and training opportunities.
Full Job Description
Job Description
Description
SAIC is seeking a Data Scientist to support SAIC's Prime SETA program supporting the NRO's Ground Enterprise Directorate (GED) in Chantilly, VA
Note: All candidates must have an active TS/SCI clearance with Polygraph to be considered for this role.
As the Data Scientist, you will provide specialized technical and engineering expertise supporting the acquisition of software services reliant on artificial intelligence and machine learning (AI/ML). SAIC's client is tasked with leading the integration of mission focused tools to foster increased efficiency, automation and information sharing. You will also assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise.
Job Responsibilities to include:
Provide data collection and analysis to enable transparency and explainability of AI/ML systems.
Provide technical and engineering support to the Government customer to manage machine learning analytics programs; apply knowledge and experience to develop and scale AI/ML models in multiple phenomenologies.
Provide software architecture and other technical expertise to support the planning of future systems and architectures, and oversight of development contractors.
Apply systems analysis and design methodology assessments to identify technical debt, architectural runway and efficiency trade-offs against current and proposed/desired cloud-based software system design.
Develop briefings and documentation material to illustrate features, capabilities and mission use cases for the computer vision tool portfolio, including developing technical roadmaps and the acquisition strategies/documentation to implement them.
Facilitate technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities for automated machine learning analytics.
You will work side-by-side with the other LANDMARK AOS staff comprised of world class System Engineers, Acquisition Engineers and Domain Experts to lead the customer in acquiring modern processing applications.
Qualifications
Required Education and Experience
Bachelors and two (2) years or more experience; Masters and 0 years related experience.
Active Top Secret Clearance with Polygraph.
2 years of systems engineering experience with knowledge of software architectures and machine learning approaches.
Experience with ontologies, training dataset generation, model evaluation and validation, and responsible AI practices.
Domain knowledge in Agile software development practices (Scrum, SAFe) and cloud computing architectures with experience monitoring software development progress via agile metrics, identifying risks, discrepancies, and performance issues.
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.
Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
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.
