Lead Data Scientist — AI-Driven Healthcare Analytics

Alt; San Francisco (CA); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible hybrid arrangement (~3 days/w

Unlimited vacation policy

Paid parental leave

Medical, dental, and vision insurance

Pre-tax commuter benefits

401(k)

Significant equity as an earlyployee

Direct mentorship from experienced **

Ground-floor opportunity to help build

Regular team events and off-sites

Company-provided equipment and home办公

Job summary

Onos Health seeks a Lead Data Scientist to own the analytical strategy behind its AI-driven healthcare data platform, partnering with health plans and internal teams to turn data into ROI-driven insights. This role sits at the intersection of data science, product, and customer success, guiding analytics, dashboards, and product capabilities to deliver measurable outcomes.

This position emphasizes turning complex healthcare data into actionable intelligence, measuring ROI and clinical impact,

Qualifications

• 8+ years in healthcare analytics or related quantitative field.
• Deep experience with healthcare claims, clinical, and operational data.
• Strong SQL and Python for exploration, modeling, and validation.
• Ability to translate complex analytics into actionable business insights.
• Excellent communication and stakeholder-facing presentation skills.

Responsibilities

• Lead analytical strategy behind the Onos platform.
• Partner with health plans and internal teams to define analytics and dashboards.
• Develop rigorous methodologies to measure ROI and clinical impact.
• Build models and frameworks to support product development and decisions.
• Collaborate across Product, Engineering, Clinical Operations, and Customer Success.

Skills

SQL

Python

Statistical modeling

Causal inference

Data visualization

Healthcare analytics

Job description

Onos Health seeks a Lead Data Scientist to own the analytical strategy behind its AI-driven healthcare data platform, partnering with health plans and internal teams to turn data into ROI-driven insights. This role sits at the intersection of data science, product, and customer success, guiding analytics, dashboards, and product capabilities to deliver measurable outcomes.

This position emphasizes turning complex healthcare data into actionable intelligence, measuring ROI and clinical impact,