Data Scientist

Bespoke Technologies, Inc.; Chantilly (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

Bespoke Technologies, Inc. seeks a Data Scientist in Chantilly to architect and maintain high-priority collection capabilities. You will apply AI/ML to extract and format unstructured and structured data, support data engineering tasks, and move data across cloud environments.

Collaboration with mission partners is essential to meet requirements. Required skills include Python, geo-spatial data handling, AWS resource management (EC2/Lambda/S3/IAM) and GitHub usage.

Qualifications

• Proven experience with Python for data processing and automation.
• Strong knowledge of geo-spatial data formats, tools, and processing workflows.
• Experience creating and managing AWS resources (EC2, Lambda, S3) and IAM policies.

Responsibilities

• Architect, deploy, and maintain fast-turnaround data collection capabilities.
• Apply AI/ML to extract and expose content in indexed search tools across multiple data formats.
• Provide data engineering support for cleaning, modeling, and formatting unknown data formats.

Skills

Python

Geo-spatial data

AWS resources

GitHub

Tools

AWS CDK

EC2/Lambda/S3/IAM

OpenSearch

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.