Data Scientist

About the role

Work closely with the client's technical lead to architect, deploy, and maintain multiple, fast-turnaround capabilities used to perform various highly-visible and high-priority collection efforts.

Responsibilities

• 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 client partners, to ensure capabilities and deliverables meet defined requirements and tradecraft needs.
• Create and maintain collection capabilities and deliverables within the client's Amazon Web Services environment utilizing approved AWS services.
• Validate collected data to ensure it meets data format requirements.
• Maintain all source code in client'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.

Required Skills

• Demonstrates experience with Python.
• Demonstrates experience with geo-spatial software and programming packages and data formats.
• Demonstrates experience 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.
• Demonstrates experience using GitHub.

Desired Skills

• Demonstrates experience deploying AWS applications with AWS's Cloud Development Kit (CDK). Ansible and Terraform are NOT a substitute for CDK.
• Demonstrates experience building and deploying containerized applications.
• Demonstrates experience building, programmatically working with and maintaining search engines such as ElasticSearch, Lucene, or AWS's OpenSearch.
• Demonstrates experience creating, programmatically working with and maintaining SQL and NO-SQL databases.
• Demonstrates experience with other non-AWS cloud services such as Google Cloud Platform, Microsoft Azure.

Certification(s)

• AWS DevOps Engineer, Solutions Architect, or SysOps Administrator.