Lead Data Scientist

AlphaMeld Corporation

Lead Data Scientist shaping analytics and AI models at Onos Health, an AI-driven healthcare data platform. Collaborating across teams to improve care management in behavioral health.

Posted 7/12/2026full-timeSan Francisco • California • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, machine learning, and data analysis within healthcare, focusing on predictive modeling and actionable insights. Proven ability to lead and mentor data science teams while effectively communicating complex data findings to stakeholders.

Highest-signal resume keywords

Statistical ModelingMachine Learning (Python, SQL)Healthcare Data StandardsTeam LeadershipData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingRisk-Scoring ModelsCausal InferenceModel DeploymentData ExplorationFeature EngineeringModel MonitoringData PipelinesAnalytical EnvironmentsEHR/Clinical Data

Soft Skills

Excellent CommunicationResourcefulnessProactive MindsetAdaptabilityCollaboration

Tools & Technologies

Scikit-learnStatsmodelsPyTorchData Science StackDashboards

Industry Keywords

HealthcareClaims DataEligibility DataICD CodingCPT CodingHCPCS Coding

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Benefits

Comp & 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)
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