Data Scientist - Security Clearance Required

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 Chantilly, Virginia and requires an active TS / SCI security clearance with Polygraph.

Responsibilities include :

• 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 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.