Lead Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead Data Scientist (AI/Healthcare): Designing and deploying predictive frameworks and optimization models for a healthcare data platform with an accent on behavioral health, risk-scoring, and clinical appropriateness. Focus on building production-grade AI/ML infrastructure, analyzing complex claims data, and translating models into measurable ROI for health plans.
Location: Hybrid arrangement, ~3 days/week at San Francisco office (Financial District)
Company
is building the largest AI-driven healthcare data platform to reduce waste and improve the quality of care in the U.S. healthcare system.
What you will do
- Design and deploy predictive, risk-scoring, and optimization models to identify waste and care improvement opportunities in behavioral health.
- Define and evolve the data science stack, including feature stores, pipelines, and model monitoring frameworks.
- Analyze claims and clinical data to uncover trends, outliers, and actionable business insights.
- Collaborate with client teams to translate complex models into ROI-driven dashboards and workflows.
- Partner with the CEO and CPO to guide overall product direction and data strategy.
Requirements
- 8+ years of experience in data science or advanced analytics, preferably within healthcare or health plans.
- Deep expertise in statistical modeling, causal inference, and ML using Python, SQL, scikit-learn, or PyTorch.
- Familiarity with healthcare data standards (claims, EHR, ICD, CPT, HCPCS).
- Proven experience building and mentoring high-performing data science teams.
- Ability to build and deploy production-grade models in analytical or product environments.
- Must be based in or able to work hybrid in San Francisco.
Culture & Benefits
- Flexible hybrid work model in the San Francisco Financial District.
- Unlimited vacation policy and paid parental leave.
- Comprehensive medical, dental, and vision insurance.
- 401(k) and significant equity as an early employee.
- Direct mentorship from experienced founders and high level of autonomy.
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