Founding Data Scientist

Role

You'll be our first dedicated Data hire — owning everything from pipelines to dashboards to ad-hoc analysis. You'll directly unblock Product, RevOps, Marketing, Finance and CS, collaborate closely with Engineering and Ops Analyst teams; while building the data foundation of our organization and our agents as we continue scaling on.

What You'll Own

• All analytics pipelines, data pond, and data schemas (our source of truth)
• Customer health monitoring, alerting and predictive analytics / churn risk
• Outcome labeling and eval datasets for our AI agents
• Agent funnel analysis, prioritization and working with a Conversation Designer
• Client facing dashboards and QBR reporting (Omni / Looker)
• Experiment setup, new metrics, go/no-go decisions (Statsig)
• ETL pipelines from 3rd party databases like EHRs, CRMs and whatcomes.
• You will develop the systems for long-term agent memory
• Responsible for data quality, completeness and uptime

What We're Looking For

• 5+ years in analytics engineering, data science, or analytics-heavy roles
• Strong SQL and Python — you write production-quality code
• ETL experience — you've built and maintained data pipelines
• Track record of shipping data products: dashboards, alerting, reporting systems
• Comfortable with ambiguity and moving fast at a startup
• Strong x-functional collaboration and decision making
• Experience deploying internal AI Agents to uplevel the broader team
• Bias toward pragmatic solutions

Nice to Haves

• Healthcare / EHR experience, HIPAA familiarity
• Omni, Temporal, GCP
• Experience with AI agent evals, monitoring and testing