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W3

Data Scientist with QuickSight Knowledge

W3GlobalSanta Clara, CA🇺🇸United StatesPosted 2 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your expertise in Generative AI and QuickSight to drive impactful insights within a dynamic tech environment. You'll thrive here if you possess strong analytical skills and a passion for translating complex data into actionable business strategies, so be sure to apply!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Santa Clara, CA, United States
Posted
21 hours ago
AWSCDKGenerative AIPythonTypeScript

Job Description

Role: Data Scientist with AWS Bedrock AgentCore Experience

Location: Santa Clara, CA

Skill to Evaluate: AWS, Python, Bedrock AgentCore, MCP, LangGraph, AWS CDK, TypeScript, AI/ML Engineer, Agentic AI, Generative AI

Experience: Above 10 Years

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.

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