Lead Data Scientist
About The Position
Onos Health's mission is to ensure every healthcare dollar goes toward delivering the highest quality care. They are addressing the 30% of U.S. healthcare spending wasted due to ineffective care and administrative burden by building the largest AI-driven healthcare data platform. This platform enables payers to make faster, more accurate decisions across their populations, guiding members to the right care and making healthcare more affordable. The company offers a category-defining opportunity to transform healthcare management in the U.S. The Lead Data Scientist role is a strategic and hands-on position at the intersection of data science, product, and clinical operations, focused on developing core analytics and AI models to measure clinical appropriateness and cost savings, and partnering with teams to translate data into measurable impact for health plans.
Requirements
- 8+ years of experience in data science or advanced analytics (preferably in healthcare or health plans; experience with claims and clinical data strongly preferred).
- Deep expertise in statistical modeling, causal inference, and ML (Python, SQL, and related libraries such as scikit-learn, statsmodels, PyTorch, or similar).
- 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.
- Scrappy with an entrepreneurial mindset: resourceful, proactive, thrives in ambiguity, and moves fast
- Excellent communication skills an ability to translate complex data into clear business insights
- Exceptional references from colleagues and former managers
Responsibilities
- Design and deploy predictive, risk-scoring, and optimization models that identify waste, inappropriate utilization, and care improvement opportunities across behavioral health services.
- Help define and evolve our data science stack, from feature stores and pipelines to 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.
Benefits
- 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)
- Significant equity as an early employee
- Direct mentorship from experienced founders
- Ground-floor opportunity to help build a team and culture
- Regular team events and off-sites
- Company-provided equipment and home office setup
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
