Data Scientist (Top-Secret)

JOB TITLE: Software/ML Engineer - Junior to Senior Level

JOB TITLE: Data Scientist - Junior to Senior Level

GOVERNMENT AGENCY: Microsoft/NGA - National Geospatial-Intelligence Agency

POSITION INFORMATION: Full-Time Position; Government contractor supporting Microsoft's Spectre team and the NGA

EXPERIENCE LEVEL: Junior, Mid, or Senior Level - all levels encouraged to apply

LOCATION: Hybrid (2 days onsite at SCIF, 3 days remote) - Springfield, VA (NGA, preferred); Reston, VA; or Redmond, WA

BENEFITS: Health, Dental and Vision, 401(k), Flexible Spending Account (FSA), 11 Paid Federal Holidays, PTO, education reimbursement

ITC Federal, LLC (ITC), headquartered in Fairfax, VA, delivers automation, AI, data, and digital modernization solutions that strengthen national security and solve complex government mission challenges. With its recent acquisition of ITC Digital Solutions (formerly Capgemini Government Solutions), ITC combines a long-standing national security delivery record with modern cloud, data, and enterprise platform expertise.

ITC is seeking a motivated Data Scientist to support Microsoft's Spectre team, which is advancing the state of the art in Geospatial AI. In collaboration with Microsoft Planetary Computer, Spectre develops foundation models for aerial object detection, tracking, and map generation, and an end-to-end AI platform that turns petabytes of data into accurate geospatial insights for mission customers. The team moves fast from ideas to experimentation to product development.

All Experience Levels Encouraged to Apply: This position can be filled at the junior, mid, or senior level. We are most focused on skills and fit with the program, and candidates at all levels are encouraged to apply.

RESPONSIBILITIES:

AI & Computer Vision Development
• Apply the latest AI, Computer Vision, and Machine Learning algorithms to build customer-centric solutions.
• Modify and advance state-of-the-art approaches in Computer Vision to deliver best-in-class solutions to our customers.
• Performance Optimization
• Optimize the run-time performance of the latest Computer Vision and Machine Learning algorithms to meet customer requirements on various hardware platforms.
• Collaboration & Culture
• Partner with industry-leading Engineers, Data Scientists, Designers, and Program Managers to deliver solid technical designs.
• Embody our Culture and Values.

REQUIRED:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field, required.
• Proven experience in data science, software development, data modeling, or data engineering, OR equivalent experience. Candidates with additional experience will be considered at the mid or senior level.
• Data modeling experience required.

PREFERRED:

• Experience with C++/Python and debugging ability across technology stacks.
• Experience in Deep Learning using frameworks such as PyTorch and TensorFlow.
• Experience shipping Computer Vision or Machine Learning based runtimes.
• Practical experience working with geospatial workflows or datasets.

SECURITY CLEARANCE REQUIREMENTS:

• Must have an active Top Secret (TS) security clearance; TS/SCI preferred but not required.
• U.S. Citizenship is required due to the nature of this government contract.

WORK LOCATION:

• Hybrid role: 2 days onsite at a SCIF and 3 days remote. SCIF work location options:
• Preferred location: National Geospatial-Intelligence Agency (NGA), 7500 GEOINT Drive, Springfield, VA 22150
• Alternative secure space (back-up option): Microsoft Office, 12012 Sunset Hills Rd., Suite 100, Reston, VA 20190
• Alternative secure space (back-up option): Microsoft Corporation, One Microsoft Way, Redmond, WA 98052

WORK ENVIRONMENT AND PHYSICAL DEMANDS: Candidate must be able to function in general office environment.

ITC Federal is an equal opportunity employer and will not discriminate against any application for employment on the basis of age, race, color, gender, national origin, religion, creed, disability, veteran status, marital status, sexual orientation, genetic information, military status, disability, or sex including pregnancy and childbirth or related medical condition or on any other basis prohibited by law.