Data Scientist at SAIC

Chantilly, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AWS, AI/ML, Data Engineering, Python, Geo-spatial Software, GitHub, SQL, No-SQL, Cloud Services, Containerized Applications, Search Engines, AWS CDK, EC2, Lambda, S3

Industry

Defense and Space Manufacturing

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. 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.

Responsibilities

The Data Scientist will architect, deploy, and maintain capabilities for high-priority collection efforts. They will strategically apply AI/ML to manage various data types and ensure data validation and documentation.