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# Data Scientist Premium I

- **Company:** Mindlance
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Graph Database, Python (Programming Language), Key Management, Machine Learning, Role-Based Access Control, Azure Machine Learning, Software Deployment, SQL Databases, Data Logging, Scripting, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Large Language Models, Indexer, Backend, Agentic-AI, Git, Fastapi, Scikit Learn, Information Technology, RAGAS (Retrieval Augmented Generation Assessment), Data Management, Machine Learning Operations, Graph RAG, Restful APIs, Data Pipelines, Automation Anywhere, Docker, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-premium-i-washington-dc--c664632a-b0e4-413d-bef0-fb097cd06360

## About the Role

Data Science, Machine Learning, Artificial Intelligence (AI), Production Support, Prototyping, Python Programming/Scripting Language, REST (Representational State Transfer), Application Programming Interface (API), Use Cases, Data Management, * 3+ years of relevant software, data, machine learning, or AI engineering experience

 * Strong programming capability in Python and experience building production APIs or backend services
 * Hands-on experience with RAG, LLM applications, or agentic AI workflows
 * Experience with FastAPI, REST APIs, Docker, Azure DevOps Git, and CI/CD
 * Experience with Microsoft Azure and cloud-based application deployment
 * Familiarity with Databricks, data pipelines, SQL, and common Python data/ML libraries
 * Understanding of authentication, authorization, RBAC, secrets management, logging, and monitoring
 * Experience evaluating AI systems through retrieval metrics, RAGAS or similar frameworks, or task-specific benchmarks
 * Strong communication and collaboration skills across technical and non-technical teams
 * Ability to take ownership and work iteratively from experimentation to secure, maintainable production solutions

Master s degree in Computer Science, Engineering, Data Science, AI/ML, Statistics, or a related technical field
Preferred: Experience with GraphRAG, knowledge graphs, ontologies, graph databases, Azure AI services, MCP, or enterprise technology environments.

## Description

* Develop AI workflows using Python, LangGraph, LangChain, or comparable frameworks
 * Build backend services and APIs using FastAPI, REST APIs, and containerized deployment patterns
 * Develop retrieval pipelines covering ingestion, embeddings, indexing, retrieval, reranking, grounding, and citations
 * Support GraphRAG and knowledge graph use cases that combine structured and unstructured information
 * Build and maintain data and AI pipelines using Databricks
 * Integrate AI applications with Azure and enterprise services, including identity, security, logging, and monitoring
 * Evaluate solution quality using retrieval metrics, RAG evaluations, LLM-based evaluation, and human review
 * Collaborate with engineers, architects, product teams, and domain specialists to move use cases into production
 * Support technical documentation, troubleshooting, optimization, and post-production improvements