About
SAIC is seeking a Data Scientist to provide Systems Engineer Technical Advisor (SETA) services for a critical position on SAIC’s Prime Program, Landmark AOS. Landmark AOS is a large SETA program, supporting the NRO’s Ground Enterprise Directorate (GED), responsible for the acquisition of systems over the complete end-to-end life cycle.
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.
Strong engineering background 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: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
REQNUMBER: 2614085
SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability
Languages
- English
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