Data Scientist

Overview

SAIC is seeking a Data Scientist to develop Amazon Web Services (AWS)-based resources that requires skills spanning many compute, storage, and networking services. This position is located in Chantilly, VA and requires an active TS/SCI clearance with Polygraph.

• 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 Customer's Amazon Web Services environment utilizing Customer approved AWS services.
• Validate collected data to ensure it meets data format requirements.
• Maintain all source code in Customer's Git Hub 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.

• Active TS/SCI with Polygraph.
• Bachelors and 9 years or more experience;
  Masters 7 years or more experience.
• Demonstrated experience with Python.
• Experience with geo-spatial software and programming packages and data formats.
• Ability to create and manage 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.
• Experience using Git Hub.

• Experience deploying AWS applications with AWS's Cloud Development Kit (CDK). Ansible and Terraform are NOT a substitute for CDK.
• Experience building and deploying containerized applications.
• Experience building, programmatically working with and maintaining search engines such as Elastic Search, Lucene, or AWS's Open Search.
• Ability to maintain SQL and NO-SQL databases.
• Experience with other non-AWS cloud services such as Google Cloud Platform, Microsoft Azure.
• AWS Dev Ops Engineer, Solutions Architect, or Sys Ops Administrator certifications.