Data Scientist

DescriptionIntroduction: The Customer applies technical resources to accelerate the timely, reliable, and secure delivery of open source data, information, and insights. The Customer requires developer support developing tailored solutions to tackle unique global collection problems. The work may be performed independently or within a team environment depending on the specific problem statement. Work will include developing Amazon Web Services (AWS)-based resources and the Customer needs skills spanning many compute, storage, and networking services. Work Requirements: • Work closely with the Customer’s 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 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.QualificationsRequired Skills:• Demonstrated experience with Linux, Python, and cloud CLIs to interact and data in storage and transit • Demonstrated experience programmatically interacting with nested and tabular data types • Demonstrated experience programmatically interacting with multimedia file formats (videos, images, documents) • Demonstrated experience deploying scalable and maintainable ML capabilities • Demonstrated experience in building and maintaining search engines (Elastic Search, Open Search)Desired Skills:• Demonstrated experience in object oriented, modular, and maintainable programming in python • Demonstrated experience maintaining source code using Git and CI/CD pipelines • Demonstrated experience creating, programmatically working with and maintaining SQL and NO-SQL databases. • Demonstrated experience creating, managing, and working in AWS resources (EC2, Lambda, S3, IAM, Sagemaker, etc.) • Demonstrated experience with other non-AWS cloud services such as, Google Cloud Platform, Microsoft Azure. • Demonstrated experience containerizing applications and capabilities in containers (Docker, ECSs) • Demonstrated experience in building and applying Computer Vision (CV) and Natural Language Processing (NLP) models and methods • Demonstrated experience writing effective documentation of capabilities in a shared environmentJob Field: Information TechnologyTravel: No