Senior Data Scientist

Ovii's Interpretation of the Role

Senior Data Scientist leading product analytics for HingeSelect. Owns measurement, experimentation, and supply‑demand modeling for the visits and discovery experience. Partners with product and engineering to turn ambiguous business questions into data‑driven insights.

Role Snapshot

• Product‑focused data science
• Experiment design & causal analysis
• Supply‑demand modeling
• Dashboard & self‑service tooling
• Cross‑functional partnership

Must-Have Requirements

• Python
• SQL
• A/B testing / experimental design
• Dashboarding (Mode, Tableau) or similar
• Data modeling and ETL pipeline productionalization
• Data Science
• Product Analytics
• Experiment design and analysis
• Dashboard development
• Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or related field

Nice-to-Have Signals

• Machine learning / predictive modeling
• AWS, Databricks, Airflow
• Healthcare or digital‑health domain experience
• Machine learning
• Healthcare or digital‑health environment
• Master's degree in a relevant field

Work Setup

• Location: San Francisco, USA
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Coding test

What You'll Likely Work On

• Build end‑to‑end measurement and experimentation foundation for HingeSelect’s discovery and visits funnel
• Diagnose conversion bottlenecks and prioritize high‑leverage product interventions
• Design and run experiments with causal guardrails to assess incremental impact
• Model provider capacity versus member demand to guide network strategy
• Define event taxonomy, data models, and metric definitions for downstream analysis
• Create and maintain dashboards that surface real‑time funnel performance
• Partner with engineering to ensure reliable upstream instrumentation
• Apply ML techniques to forecast behavior, segment demand, and surface intervention opportunities

Good Fit If You Have

• Comfortable working in ambiguous, greenfield environments
• Strong communication of technical findings to non‑technical stakeholders
• Interest in healthcare or digital‑health domains