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.
REQNUMBER: 2413850
SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability
S:SKDATVA1
