Description
SAIC is seeking a highly motivated Data Scientist to provide SETA support to SAIC's Prime Program, Landmark AOS in Chantilly, VA. 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.
As the Data Scientist, you will provide specialized technical and engineering expertise supporting the acquisition of computer vision (machine learning automated target recognition) software services. 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 technical and engineering support to the Government customer to manage computer vision machine learning analytics programs; apply knowledge and experience to develop and scale automatic target recognition 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.
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:
Bachelor's and five (5) years or more experience; Master's and three (3) years or more experience; PhD and 0 years related experience. Relevant experience to be substituted in lieu of degree.
Active Top Secret/SCI Clearance with Polygraph.
Strong engineering background with knowledge of software architectures and machine learning approaches for computer vision applications.
Domain knowledge in Agile software development practices and Cloud computing architectures.
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.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site. REQNUMBER: 2409106
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
