Bayforce

Senior Data Scientist - AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist - AI, offering a 1-year contract to hire, with a remote work location. Key skills include GenAI agent development, MCP integrations, Azure or AWS expertise, and strong SQL knowledge. 5+ years of experience required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 28, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Greater Chicago Area
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🧠 - Skills detailed
#Snowflake #AI (Artificial Intelligence) #Clustering #Data Science #Databricks #Azure #AWS (Amazon Web Services) #Observability #Classification #Cloud #ML (Machine Learning) #SQL (Structured Query Language)
Role description
Role Title: Senior Data Scientist / AI Engineer Employment Type: Contract-to-Hire Duration: 1 year contract to hire Preferred Location: Remote Role Description: We're looking for a Senior Data Scientist with strong hands-on experience in GenAI agent development and modern AI engineering. This role focuses on building production-grade agents, MCP integrations, and enterprise knowledge systems using our cloud and data stack. • Build and refine GenAI agents that interact with internal systems • Develop MCP tools and secure integrations • Create and maintain knowledge bases and retrieval pipelines • Implement agent evaluation frameworks and guardrails • Work across Azure, Snowflake, and Databricks to support production AI systems Requirements: • 5+ years overall experience as a Data Scientist • Experience building and deploying GenAI agents (including open-source LLM agents) in production environments • Strong knowledge of MCP, tool integrations, and agent orchestration • Ability to design and maintain knowledge bases, vector search, and retrieval systems • Hands-on experience with vibe coding for rapid GenAI prototyping • Cloud expertise in Azure (preferred) or AWS • Strong SQL skills and experience with Snowflake • Experience working with Databricks for data and ML workflows • Solid background in traditional ML (classification, clustering, etc.) • Ability to build evals, guardrails, and safety layers for agents at scale • Experience with MLOps and LLM Observability