Senior Data Scientist, Alexa For Shopping (Rufus)
Core
Building a self-improving agentic intelligence system that extracts actionable insights from unstructured customer data to guide Amazon Shopping CX evolution without human intervention.
Role type
Senior IC multi-agent system architect and data scientist
Builds
Autonomous multi-agent orchestration systems, self-evaluating feedback loops, and scalable insight extraction pipelines
Domain
Generative AI, Multi-Agent Systems, Product Analytics, Unstructured Data Processing
Deliverable
production ML models
Required skills
Multi-agent system orchestration, self-improving agent design, unstructured data signal extraction, NLP pipelines, intent classification, entity extraction, statistical modeling, Python, SQL, vector indexing, kNN queries, embedding strategy, prompt engineering, causal inference
Preferred skills
Multi-agent system evaluation, production RAG, AWS Bedrock, LangGraph, CrewAI, AutoGen, Graph databases, NLP inference scaling, business intelligence domain expertise, academic publishing
Technologies
Python, SQL, pandas, numpy, scipy, AWS Bedrock, SageMaker, Neptune, Neo4j, LangGraph, CrewAI, AutoGen
Responsibilities
Own multi-agent topology and inter-agent communication protocols; design context window strategy; define evaluation metrics for agent output quality; design eval signal propagation to prompt updates; own schema grounding and vector indexing strategies; manage system prompts and chain-of-thought scaffolding
Seniority
Senior, hands-on IC