GRVTY
Data Scientist - Cleared
Chantilly, Virginia, United States · Contract
No sponsorshipDetected 23 days ago
TypeScriptPythonBackend DevelopmentFull-Stack DevelopmentAlgorithmsAWSDockerKubernetesCI/CDLinuxDevOpsKafkaMachine LearningSparkData AnalysisData EngineeringData ScienceNLPLLMsAI OrchestrationResearch
About the role
- What Impact You'll Have Our team is charged with taking commercial and academic innovation high-side, in domains of Artificial Intelligence / Machine Learning (AI / ML), Natural Language Processing (NLP).
- We also bring the best ideas, tools, and approaches in technology infrastructure (AWS, DevOps, etc.) to the IC.
- This project regularly needs various types of people - Data Scientists, Data / ETL Engineers, Analytic Software Engineers, Full Stack Developers, UI/UX Developers, and AWS/DevOps experts.
Responsibilities
- Design, develop, and maintain Python-based data processing pipelines and workflow orchestration solutions for large-scale text ingestion, transformation, and enrichment.
- Develop and implement AI-powered agentic workflows and LLM-integrated applications to automate data triage, classification, analysis, and processing tasks.
- Build, enhance, and maintain reusable AI capabilities, prompt frameworks, and agent-based services that support enterprise data analysis platforms.
- Integrate and operationalize Large Language Models (LLMs) to deliver retrieval, reasoning, summarization, information extraction, and decision-support capabilities.
- Troubleshoot, optimize, and scale text-processing pipelines to ensure data quality, system reliability, and efficient AI-driven workflows.
- Design and develop APIs and backend services that connect AI models, data pipelines, and mission applications.
- Collaborate with cross-functional teams including data scientists, software engineers, and product stakeholders to prototype, test, and deploy AI-enabled solutions.
- Develop Python-based automation tools and services supporting data engineering, workflow orchestration, model integration, and operational efficiencies.
- Develop and perform ETL on large unstructured datasets.
- Building and maintaining CI/CD pipelines for data and platform services
Requirements
- Experience with Python
- Experience with services including Apache Kafka, Apache Spark, and Prefect
Skills
- What Impact You'll Have
- Workplace Discrimination is Illegal (eeoc.gov)
Compensation
- Annual Paid Time Off and Paid Holidays
Benefits
- Support the deployment and maintenance of production-scale AI and machine learning solutions in mission-focused environments.
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
This listing is sourced directly from GRVTY's careers page and normalized into a canonical job model.