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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** Onos Health inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Clinical Data Repository, Python (Programming Language), Machine Learning, SQL Databases, Pytorch, Data Strategy, Scikit Learn, Statistics Packages, Health Level Seven International, Machine Learning Operations - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/lead-data-scientist-onos-health-8739405 ## About the Role * 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 ## Description We're looking for a Lead Data Scientist who thrives in a fast-moving startup, loves solving complex problems in messy healthcare data, and wants to directly shape how payers manage care. This is a highly strategic and hands-on role at the intersection of data science, product, and clinical operations. As Onos' lead data scientist, you'll own the development of our core analytics and AI models, from designing predictive frameworks to measuring clinical appropriateness and cost savings. You'll partner closely with product, engineering, and client teams to translate data into measurable impact for health plans, driving smarter utilization, improved outcomes, and reduced waste across Behavioral Health. What you'll be doing at Onos: * Model Development: Design and deploy predictive, risk-scoring, and optimization models that identify waste, inappropriate utilization, and care improvement opportunities across behavioral health services. * AI/ML Infrastructure: Help define and evolve our data science stack, from feature stores and pipelines to model monitoring and evaluation frameworks. * Data Exploration & Analysis: Dive deep into claims and clinical data to uncover trends, outliers, and actionable insights. * Client & Product Impact: Partner with client teams to translate complex models into clear insights that demonstrate ROI, inform payer workflows, and maintain clear, impactful dashboards. * Cross-Functional Leadership: Collaborate with the CEO, CPO, and engineering team to guide product direction, data strategy, and key client engagements. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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