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SAIC · 21 hours ago

Data Scientist

Chantilly, VA

Full-time

Onsite

Senior Level, Lead/Staff

9+ years exp

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 in Chantilly, VA. The role involves providing specialized technical and engineering expertise in support of the acquisition of machine learning software services, particularly in computer vision and automated target recognition.

Information TechnologySecurityService IndustrySoftware

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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 phenomenology’s

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

Qualification

Machine LearningComputer VisionSoftware ArchitectureAgile DevelopmentCloud ComputingMS OfficeTechnical DocumentationProblem SolvingTeam CollaborationCommunication Skills

Required

Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience. Relevant experience to be substituted in lieu of degree

Active Top Secret Clearance with Polygraph

Strong engineering background with knowledge of software architecture and machine learning approaches including computer vision applications

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