Position Details

Salary $121K – $224K USD / year

Type Full-Time

Experience lead

Exp. Years 5-7 years

Education Bachelor's degree in a quantitative field (statistics, mathematics, economics, engineering, computer science) required; Master's or PhD preferred

Category Data & Analytics

About this role

Lead data scientist responsible for designing scalable AI/ML solutions for strategic healthcare analytics, including end-to-end analytics on healthcare data and producing narratives for executives. Role emphasizes production-ready models, CI/CD, and governance.

Key Responsibilities

Design and develop scalable AI/ML models
Extract and manipulate large-scale healthcare data to build valuation models
Translate methodologies and financial impacts for executives
Develop logging, alerting, and mitigation strategies for model errors
Set up CI/CD pipelines and deploy models with Kubernetes/Docker

Technical Overview

Focuses on SQL/Python/R, Databricks, Git, Kubernetes, Docker; analyzes large healthcare datasets (claims, clinical, SDoH); builds valuation models and ensures model fairness; deploys models in production with CI/CD and monitoring.

Ideal Candidate

The ideal candidate is a lead data scientist with 5+ years of healthcare analytics experience, strong in SQL, Python or R, and production ML deployment. Must demonstrate ability to translate complex ML results into strategic narratives for executive stakeholders and build scalable valuation frameworks.

Must-Have Skills

5+ years SQL5+ years experience in developing Machine learning/AI/Predictive Models in R or Python5+ years experience with GitExperience using DataBricks platformBackground in high-stakes environments translating complex data architecture and statistical results into executive-level strategy

Nice-to-Have Skills

Healthcare domain experienceSDoH (Social Determinants of Health) experienceExecutive stakeholder communicationExperience translating methodologies into financial narrativesExperience in healthcare analytics or regulated environments

Tools & Platforms

SQLStructured Query Language (SQL)PythonRGitDatabricksKubernetesDockerCI/CD

Required Skills

Bachelor's degree; 5+ years SQL; 5+ years ML/AI/Predictive Models in Python or R; 5+ years Git; DataBricks; Kubernetes; Docker; CI/CD; Big Data; Data Visualization; Claims Data; Clinical Data; SDoH; Executive communication; Production deployment; Model deployment; Logging/monitoring; Fairness review

Hard Skills

SQLStructured Query Language (SQL)PythonRGitDatabricksKubernetesDockerCI/CDMachine LearningPredictive ModelingBig DataData VisualizationClaims DataClinical DataSDoHModel DeploymentUnit TestingCI/CD pipelines

Soft Skills

Strong analytical skillsExecutive communicationIndependent workerProject managementAttention to detailJudgment and decision makingCross-functional collaborationData storytellingProblem solvingProactive learning

Industry & Role

Industry Healthcare & Medical

Job Function Lead the healthcare analytics and ML modeling initiatives, delivering production-ready valuation frameworks for executive decision-making

Role Subtype lead data scientist

Tech Domains SQL / PostgreSQL, Python, R, Kubernetes, Docker

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Lead Data ScientistData ScientistMachine LearningPredictive ModelingPythonRSQLStructured Query Language (SQL)GitDatabricksKubernetesDockerCI/CDBig dataData VisualizationClaims DataClinical DataSDoHExecutive CommunicationModel DeploymentProduction-grade Valuation Frameworks

Deal Breakers

Sponsorship required (must be authorized to work in the U.S. without sponsorship), No 5+ years data science experience in healthcare, Bachelor's degree not in a quantitative field

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Lead Data Scientist - Strategic Initiatives

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