TS/SCI Data Scientist - AWS & Geospatial (Onsite)

Rapid Cycle Solutions, LLC.; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Rapid Cycle Solutions LLC (RCS) is seeking a Data Scientist to accelerate secure delivery of open-source data and insights. The role involves AWS-based development, Python programming, and collaboration with mission partners to fulfill high-priority collection objectives.

On-site in Chantilly/Reston, VA with TS/SCI clearance requirements. You will build and maintain AWS resources, validate data formats, and document code in GitHub, contributing to evolving collection capabilities in a fast-paced

Qualifications

• U.S. Citizenship is required.
• Active TS/SCI clearance with Full Scope Polygraph is required.
• Experience with Python and geo-spatial data formats is required.

Responsibilities

• Work closely with the technical lead to architect, deploy, and maintain multiple, fast-turnaround capabilities used to perform various highly visible and high-priority collection efforts.
• Coordinate with mission partners to meet defined requirements and tradecraft needs.
• Create and maintain collection capabilities within AWS, utilizing sponsored services.
• Validate collected data to ensure it meets format requirements.
• Maintain all source code in the GitHub repository and document execution steps.
• Perform operations and maintenance to adapt to changes in targets, technologies, data formats, and naming conventions.

Skills

Python

TS/SCI with FS Poly

Geo-spatial data

AWS resource provisioning

GitHub

Tools

EC2

S3

Lambda

IAM policies

Job description

Rapid Cycle Solutions LLC (RCS) is seeking a Data Scientist to accelerate secure delivery of open-source data and insights. The role involves AWS-based development, Python programming, and collaboration with mission partners to fulfill high-priority collection objectives.

On-site in Chantilly/Reston, VA with TS/SCI clearance requirements. You will build and maintain AWS resources, validate data formats, and document code in GitHub, contributing to evolving collection capabilities in a fast-paced