Job Description

Description

SAIC’s Space & Intel Business Group, USG Mission and Information Technology Division, is seeking a Data Scientist to support developing tailored solutions to tackle unique global collection problems

This position is located in Northern Virginia and requires an active TS/SCI security clearance with Polygraph.

Responsibilities include:

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

Qualifications

• Active TS/SCI with Polygraph security clearance.
• 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.
• Demonstrated experience with: 
  • Python.
  • GitHub.
  • Geo-spatial software and programming packages and data formats.
  • 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.

Desired Experience:

• Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.
• ECL experience. 

SAIC accepts applications on an ongoing basis and there is no deadline.


Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

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