About this opportunity
Bespoke Technologies, Inc. lists this Data Scientist opportunity in chantilly, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
BT-399 – Data Scientist
Skill Level- Subject Matter Expert
Location- Chantilly
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.
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.
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Worksite address
chantilly, VA, 22021, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.