BT-399 – Data Scientist
Skill Level- Subject Matter Expert
Location- Chantilly
Work Requirements
- 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.
- 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.
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 ElasticSeach, 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) o AWS DevOps Engineer, Solutions Architect, or SysOps Administrator.