Data Scientist

Rapid Cycle Solutions-posted 12 days ago
Full-time • Mid Level
Onsite • Reston, VA
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Data Scientist Rapid Cycle Solutions LLC (RCS) is an innovative small business providing IT and management consulting services to the U.S. Federal Government and commercial clients. We have unique strengths in complex, cross-organizational solution analysis, design, development, implementation, and change management supporting enterprise requirements. Our team of professionals has deep consulting backgrounds supporting the unique needs of our clients. Our team members have proven experience leading strategic initiatives within the civilian Government agencies. Note: Please ensure you meet the Security Clearance obligations before applying to optimize your consideration for this and other employment opportunities with RCS. RCS is seeking a Data Scientist to apply technical resources to accelerate the timely, reliable, and secure delivery of open-source data, information, and insights. The developer will support developing tailored solutions to tackle unique global collection problems. The work may be performed independently or within a team environment depending on the specific problem statement. Work will include developing Amazon Web Services (AWS)-based resources and the Customer needs skills spanning many compute, storage, and networking services. This position requires the candidate to meet specific Security Clearance obligations to work onsite in Reston, VA. Relocation assistance is not available.

  • 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.
  • Strategically apply AI/ML to extract, format, and expose in indexed search tools relevant content such as raw text, multimedia (audio, image, video, document), tabular (CSV, Parquet, Avro) or nested (JSON, JSONL, XML), and other structured /unstructured data types. Data is expected to be of varying formats, schemas, and structures.
  • Provide Data Engineering support to include cleaning, modeling, and formatting data of unknown formats.
  • Move data between different cloud storage environments for critical requests.
  • Coordinate with multiple entities, including mission partners, to ensure capabilities and deliverables meet defined requirements and tradecraft needs.
  • Create and maintain collection capabilities and deliverables within the Amazon Web Services environment utilizing Customer approved AWS services.
  • Validate collected data to ensure it meets data format requirements.
  • Maintain all source code in the GitHub repository.
  • Document all source code, including how to execute the code.
  • Perform operations and maintenance on the collection capabilities and deliverables to adapt to changes in collection target, technologies, data formats, and naming conventions.
  • Clearance: Active TS/SCI clearance with Full Scope Polygraph
  • Demonstrated experience with Python.
  • Experience with geo-spatial software and programming packages and data formats.
  • Experience creating and managing AWS resources, including provisioning EC2 instances, writing and deploying Lambda functions, creating and writing to S3, and managing authorization appropriately across resources with IAM policies.
  • Demonstrated experience using GitHub.
  • Experience deploying AWS applications with AWSs Cloud Development Kit (CDK). Ansible and Terraform are NOT a substitute for CDK.
  • Building and deploying containerized applications.
  • Building, programmatically working with and maintaining search engines such as ElasticSeach, Lucene, or AWSs OpenSearch.
  • Creating, programmatically working with and maintaining SQL and NO-SQL databases.
  • Experience with other non-AWS cloud services such as, Google Cloud Platform, Microsoft Azure.
  • Certification(s) such as AWS DevOps Engineer, Solutions Architect, or SysOps Administrator.
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