Natural Language Processing Data Scientist
Compensation
$175k – $195k /yr
Employment type
Full-time
Work setting
On-site
Location
Vienna, VA
Schedule
Day shift
Posted
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Job overview
Natural Language Processing Data Scientist is an onsite role in Vienna, VA. Compensation is $175,000–$195,000 per year. The position supports the Modern Disability Claims program, applying data science to VA disability claims adjudication. The role develops and improves natural language processing pipelines that extract, structure, and analyze medical and claims data. It contributes to claims process automation and analytics by validating models, documenting methods, and supporting integration into VA systems.
What you'll do
- Extract and analyze medical and claims data using NLP and VA datasets
- develop, maintain, and optimize NLP pipelines
- collaborate with VA stakeholders to define requirements
- test and improve model accuracy, performance, and quality
- document workflows, architecture, methodologies, and tuning procedures
- and support integration and deployment of NLP models within VA systems and infrastructure.
What we're looking for
- Skills & competencies
- natural language processingdata scientistmachine learninghealthcare dataclaims analyticspythonva disability claimsfull-timevienna vasteerbridge$175k–$195k/yearpublic trust clearance
- Work arrangement
- Weekend coverage required
Benefits & perks
- Health, dental, and vision insurance
- life insurance
- 401(k) with matching
- paid time off
- and paid federal holidays.
Why this role
U.S. citizenship is required, and the candidate must be able to obtain and maintain the required security clearance, including Public Trust. Benefits listed include health, dental, vision, life insurance, matching 401(k), paid time off, and paid federal holidays.
About the employer
SteerBridge is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Computer Systems Design Services
- Occupation code
- 15-2051.00
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Listing ID: e383c506-2bc9-4130-92e4-14684fe7b997