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Onos HealthOnos HealthSan Francisco, CA

Lead Data Scientist

Lead Data Scientist owning development of core predictive AI/ML models on messy healthcare claims and clinical data to identify waste and improve behavioral health outcomes for payers. Requires 8+ years experience, leadership of data science teams, production model deployment, and strong Python/SQL/ML skills.

Salary not listed
Hybrid8+ YOEData Science

About the role

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.

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 and ability to translate complex data into clear business insights.

Nice-to-Haves

  • Experience with claims and clinical data.
  • Background in healthcare or health plans.

Compensation and 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.

Skills

PythonSQLscikit-learnStatsmodelsPyTorchCausal InferenceStatistical ModelingMachine LearningClaims DataClinical DataIcdCptHcpcs

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