Overview
On Site
Full Time
Skills
Storage
Computer Networking
Security Clearance
Artificial Intelligence
Machine Learning (ML)
Multimedia
Video
Computerized System Validation
Apache Parquet
Apache Avro
JSON
XML
Unstructured Data
Data Engineering
Modeling
Cloud Storage
Python
Provisioning
Amazon EC2
Writing
Amazon S3
Management
Authorization
GitHub
Ansible
Terraform
Search Engines
Apache Lucene
SQL
Database
Cloud Computing
Google Cloud
Google Cloud Platform
Microsoft Azure
Amazon Web Services
DevOps
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2511200
Location: CHANTILLY, VA, US
Date Posted: 2025-10-29
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
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.
Job responsibilities include, but are not limited to:
Qualifications
Desired Skills:
Location: CHANTILLY, VA, US
Date Posted: 2025-10-29
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
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.
Job responsibilities include, but are not limited 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 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 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.
- 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 GitHub.
Desired Skills:
- 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 ElasticSeach, Lucene, or AWS's OpenSearch.
- Ability to maintain SQL and NO-SQL databases.
- Experience with other non-AWS cloud services such as, Google Cloud Platform, Microsoft Azure.
- AWS DevOps Engineer, Solutions Architect, or SysOps Administrator certifications.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.