Data Scientist with AWS Bedrock Agent Core Experience / Santa Clara CA

Data Scientist with AWS Bedrock AgentCore Experience

Location: Santa Clara CA

Hybrid: 3 days a week

Top 3 skills: AWS Bedrock AgentCore, Agentic AI

Mandatory Skills

Python, AWS (S3,Lambda,Bedrock), AWS Bedrock AgentCore, MCP, LangGraph, AWS CDK, TypeScript, Agentic AI, Generative AI

Job Title

Data Scientist with AWS Bedrock AgentCore Experience - Twitch

Job Description

• Become a domain expert in the company's operations and platform data, developing a strong understanding of how the business operates and where value is created.
• Translate ambiguous business questions into clear, actionable analyses and solid deliverables; define metrics that measure operational effectiveness and performance.
• Design, build, and deploy agentic AI systems - using AWS Bedrock AgentCore and related orchestration tooling - that automate recurring analyses, accelerate data exploration, and give stakeholders self-serve access to insights.
• Bring hands-on agentic AI design and implementation experience, specifically architecting and deploying agent workflows on AWS and AWS Bedrock AgentCore infrastructure.
• Follow strong, disciplined Python coding practices - clean architecture, testability, modularity, and production-grade engineering rigor - across all analyses, tooling, and agent systems built.
• Architect and implement multi-agent workflows using MCP (Model Context Protocol) for tool use, context sharing, and inter-agent communication.
• Use infrastructure-as-code (AWS CDK, TypeScript) to deploy, version, and manage agentic AI infrastructure in a reliable, repeatable way.
• Produce ad-hoc analyses and reports that help teams make time-sensitive decisions with confidence.
• Communicate findings clearly to both technical and non-technical partners; distill complex data and agent behavior into concise, actionable insights.

Roles & Responsibilities

• Experience in Analytics, Data Science, Computer Science, or equivalent industry experience.
• Around 10 years of overall experience as a data scientist, data/ML engineer, or applied AI practitioner in a data-driven environment.
• Deep, hands-on Python coding ability with strong engineering practices - writing production-grade, well-structured, maintainable code, not just analysis scripts.
• Critical requirement: substantial hands-on experience working within AWS environments, including services such as S3, Lambda, and Bedrock.
• Hands-on experience with AWS Bedrock AgentCore (or comparable agent runtime/orchestration platforms) for building and deploying agentic AI systems, including designing and implementing agent infrastructure on AWS.
• Strong working knowledge of MCP (Model Context Protocol) - designing MCP servers/clients, tool integration, and agent-to-agent context passing.
• Practical experience with agent orchestration frameworks (e.g., LangGraph) and core agentic patterns - tool use/function calling, RAG, multi-step reasoning, and autonomous task execution.
• Proficiency with AWS CDK and TypeScript for defining and deploying cloud infrastructure as code.
• Ability to take mid-to-complex tasks from ambiguity through to delivered results with minimal hand-holding.
• Strong communication skills with a track record of creating insights that influence decisions.
• Familiarity with applying agentic patterns to real-world use cases (e.g., conversational data assistants, automated report generation, or autonomous investigation agents) is a strong plus.