Data Scientist with AI || McLean VA
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with AI in McLean, VA, offering a long-term contract. Key skills include machine learning, Python, Jupyter, and AWS. Experience in building AI agents and deploying Gen AI applications is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Jupyter #AWS (Amazon Web Services) #ML (Machine Learning) #AI (Artificial Intelligence) #Python #Data Science #Stories #Databases
Role description
Data Scientist Specialist
Modee of interview: In-person
Location: McLean, VA
Duration: Long-Term
Job Description:
Must have hands-on experience with machine learning transitioned into GenAI.
Rag, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data.
Preferred:
Built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production.
Need Gen AI Engineer with Python Rag, Bedrock, AWS services and AI Agents.
Day to Day:
This is a Senior role who has ability to clearly articulate tech spec, talk to team with detailed explanation of user stories.
Deep on business use cases - which have been identified and approved, our team to work on thought processes which are 2 diff ways
1 ) worked as a consultant- shadow - who is leaving for , talking to Production support teams..
1. When we have a new business use case, Agent, workflow, crate solution for submission process and Rag agents, Databases: how to access databases or integrate and pull data.
Assessment : based on Rag, prompt engineering, dev implementation in NCP, AI agent etc
Data Scientist Specialist
Modee of interview: In-person
Location: McLean, VA
Duration: Long-Term
Job Description:
Must have hands-on experience with machine learning transitioned into GenAI.
Rag, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data.
Preferred:
Built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production.
Need Gen AI Engineer with Python Rag, Bedrock, AWS services and AI Agents.
Day to Day:
This is a Senior role who has ability to clearly articulate tech spec, talk to team with detailed explanation of user stories.
Deep on business use cases - which have been identified and approved, our team to work on thought processes which are 2 diff ways
1 ) worked as a consultant- shadow - who is leaving for , talking to Production support teams..
1. When we have a new business use case, Agent, workflow, crate solution for submission process and Rag agents, Databases: how to access databases or integrate and pull data.
Assessment : based on Rag, prompt engineering, dev implementation in NCP, AI agent etc
