Principal Data Scientist
Core
Build algorithms, multidimensional models, and analytical frameworks at the intersection of data science, data engineering, and advanced analytics to improve business outcomes and patient care in healthcare commerce.
Role type
Principal Data Scientist (Senior IC)
Builds
AI-powered analytical tools, agentic workflows, scalable data models, and measurement frameworks for product strategy and customer experience.
Domain
Healthcare commerce / Digital health
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Statistical modeling, predictive analytics, causal inference, experimentation design, SQL, Python/R, LLMs, agentic workflows, BI/visualization tools
Preferred skills
Production-grade ML deployment (Databricks, Delta Lake, MLflow), mentoring data scientists, healthcare/digital health/eCommerce domain experience
Technologies
Databricks, Delta Lake, MLflow, Feature Store, Model Serving, Tableau, LLMs
Responsibilities
Develop customer/patient behavior insights to identify unmet needs and product friction; Partner with Product/Engineering to translate insights into strategy and roadmap; Define success metrics and build measurement frameworks; Design and build AI-powered tools and agentic workflows; Apply statistical modeling and predictive analytics to inform product strategy; Communicate actionable insights to executives; Mentor data scientists on experimentation and analytical rigor.
Seniority
Principal, hands-on IC with strategic influence
