Data Scientist – Conversational AI Analytics - W2 Role
Core
Extract actionable intelligence from conversational AI platforms and large-scale interaction data using advanced clustering, embedding analysis, and LLM-assisted categorization to uncover user behavior patterns and influence product strategy.
Role type
Senior IC data scientist (conversational AI analytics)
Builds
Cloud-native analytics solutions and automated workflows for conversational AI platforms
Domain
Conversational AI, Natural Language Processing, Cloud Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Python, NLP, semantic embeddings, vector similarity, clustering, LLMs, prompt engineering, SQL, data modeling, scalable pipeline development
Preferred skills
conversational AI platform analytics, vector databases, semantic search, distributed data processing (Spark/Ray), orchestration frameworks (Airflow/Step Functions), MLOps, responsible AI governance, BI tools
Technologies
PySpark, AWS/Azure/GCP, REST APIs, CI/CD frameworks
Responsibilities
Perform advanced clustering and embedding analysis on AI-generated conversation data; Develop LLM-assisted categorization workflows; Build scalable analytical pipelines and automated workflows; Partner with engineering and product teams to drive data-driven decisions; Communicate complex analytical concepts to technical and business stakeholders
Seniority
Senior, hands-on IC