Data Scientist, ML (Agentic, CX)

Tech Stack

Responsibilities

• Build and deploy machine learning models for customer support systems, including intent classification, escalation detection, clarification, summarization, and multi-agent orchestration.
• Design evaluation frameworks using LLM-based review methods, human feedback loops, and automated quality metrics to identify regressions before customer impact.
• Develop propensity, segmentation, and personalization models that support proactive outreach and tailored AI experiences.
• Translate advances in agent architectures into production systems, partnering with engineering on prompt design, retrieval systems, tool use, memory, and orchestration.
• Develop systems that maintain response quality and reliability at scale while working with product, engineering, legal, and compliance partners.

Benefits

• 401k
• Equity
• Gym Membership
• Health Insurance
• Learning Budget
• Parental Leave

Culture

Requirements