Lead Data Scientist

About the role

We are seeking a Lead Data Scientist to join our dynamic team at Onos Health. This role requires a strong background in data science or advanced analytics, particularly within the healthcare sector. Your responsibilities will involve developing predictive models, managing AI infrastructure, exploring data, and collaborating with clients and product teams to drive meaningful change.

Responsibilities

• Design and deploy predictive, risk-scoring, and optimization models to identify waste, inappropriate utilization, and care improvement opportunities across behavioral health services.
• Help define and evolve our data science stack, including feature stores, pipelines, model monitoring, and evaluation frameworks.
• Dive deep into claims and clinical data to uncover trends, outliers, and actionable insights.
• Partner with client teams to translate complex models into clear insights that demonstrate ROI, inform payer workflows, and maintain clear, impactful dashboards.
• Collaborate with the CEO, CPO, and engineering team to guide product direction, data strategy, and key client engagements.

Requirements

• 8+ years of experience in data science or advanced analytics, preferably in healthcare or health plans.
• Deep expertise in statistical modeling, causal inference, and machine learning (Python, SQL, and related libraries).
• Familiarity with healthcare data standards (claims, eligibility, EHR/clinical data, coding sets like ICD, CPT, HCPCS).
• Experience building production-grade models and deploying them in analytical or product environments.
• Proven experience building, mentoring, and leading high-performing data science or analytics teams.
• Scraped with an entrepreneurial mindset: resourceful, proactive, thrives in ambiguity, and moves fast.
• Excellent communication skills to translate complex data into clear business insights.

Qualifications

• Advanced degree in statistics, mathematics, computer science, or a related field.
• Strong understanding of healthcare data and its nuances.
• Experience with healthcare-specific data sources and tools.
• Ability to work independently and as part of a team.
• Passion for using data to improve healthcare outcomes and reduce waste.

Skills

• Statistical modeling and machine learning techniques.
• Data exploration and analysis.
• Collaboration and communication skills.
• Leadership and project management skills.

Benefits and Perks

• Flexible hybrid arrangement: ~3 days/week at San Francisco office (Financial District).
• Unlimited vacation policy.
• Paid parental leave.
• Medical, dental, and vision insurance.
• Pre-tax commuter benefits.
• 401(k) plan.
• Significant equity as an early employee.
• Direct mentorship from experienced founders.
• Regular team events and off-sites.
• Company-provided equipment and home office setup.