Senior Data Scientist – AI/ML, AWS & Geospatial (TS/SCI)

TalentOps; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

5 weeks PTO

Birthday leave

11 floating holidays

401(k) with 10% employer contribution

Medical plan options (Anthem)

Employer-paid dental coverage

Employer-paid vision coverage

Life and AD&D coverage

Profit sharing

Performance bonus opportunities

Job summary

TalentOps in Chantilly, VA seeks an experienced Data Scientist to support mission-critical data collection and analysis. The role emphasizes Python development, AI/ML, data engineering, AWS, and geospatial work.

You will architect and deploy fast-turnaround capabilities, handle diverse data formats, and collaborate with partners to ensure data quality and usable insights in a secure environment.

Qualifications

• Strong Python development experience.
• Experience with AI/ML techniques.
• Geospatial data formats and tools experience.
• Experience with AWS resources (EC2, Lambda, S3, IAM).
• Familiarity with GitHub for source control.
• Experience with containerized applications and cloud deployments.

Responsibilities

• Architect, develop, deploy, and maintain fast-turnaround data collection capabilities.
• Strategically apply AI/ML techniques to extract, process, format, analyze, and expose content via indexed search tools.
• Work with structured and unstructured data (JSON, CSV, Parquet, XML, etc.).
• Provide data engineering support: cleaning, transforming, modeling data.
• Develop solutions for processing and analyzing geospatial data.
• Move data between cloud storage environments for critical requirements.
• Create and maintain AWS resources (EC2, Lambda, S3, IAM).
• Validate data quality and formats against requirements.
• Collaborate with teams and stakeholders to meet requirements.
• Maintain code in GitHub and document deployments.

Skills

Python

AI/ML

Geospatial data

Data engineering

AWS

GitHub

Tools

AWS CDK

Docker

Kubernetes

Elasticsearch/OpenSearch

Job description

TalentOps in Chantilly, VA seeks an experienced Data Scientist to support mission-critical data collection and analysis. The role emphasizes Python development, AI/ML, data engineering, AWS, and geospatial work.

You will architect and deploy fast-turnaround capabilities, handle diverse data formats, and collaborate with partners to ensure data quality and usable insights in a secure environment.