Lead Data Scientist

The role

The Lead Data Scientist will lead applied AI and data science workstreams to improve risk selection, pricing accuracy, and operational efficiency. This person will manage the full lifecycle from problem framing and model development to production deployment and monitoring.

What you will do

• Own end-to-end delivery for predictive underwriting and pricing workstreams
• Frame evidence-based recommendations and workstream trade-offs
• Define and document Analytics-Ready Datasets and feature requirements
• Apply point-in-time development and out-of-time validation approaches
• Develop and challenge predictive models and hybrid rule/model approaches
• Balance near-term delivery with exploration of emerging methods like deep learning or GenAI
• Partner with business teams to identify additional signals and with Legal for approvals
• Manage third-party model evaluations and ROI analyses
• Produce explainable, reproducible model outputs
• Champion reuse and standardization of data science assets

Required qualifications

• Bachelor's or master's degree in Statistics, Data Science, Computer Science, Mathematics, Engineering, or a related quantitative field
• 8+ years in data science, machine learning, statistics, actuarial analytics
• Substantial work with healthcare, pharmacy, insurance risk, or sensitive longitudinal data
• Proven record of independently owning models or analytical workstreams end to end
• Advanced Python and SQL
• Experience in scikit-learn, XGBoost, GBMs, or comparable frameworks
• Deep expertise in Supervised and Unsupervised Machine Learning methods, explainability, statistical distributions, rare-event and high-cost modeling, calibration, and optimization
• Proven ownership of production models and the MLOps lifecycle on AWS or a comparable cloud platform
• Experience with Git-based version control, testing, deployment, monitoring, retraining, rollback, documentation, and responsible AI/model-governance practices
• Strong business acumen and judgment

Nice to have

• Advanced degree
• Experience using PySpark or comparable distributed-computing tools
• PyTorch experience
• Familiarity with Kedro or a similar pipeline framework
• Experience with LLMs, prompt engineering, RAG, embeddings, vector DB, or agentic frameworks

Benefits

• Fully paid medical, dental, and vision benefits
• Flexible PTO
• 401k company contribution
• Tuition reimbursement
• Professional development allowance
• Transportation allowance and daily parking reimbursement

Before you apply

• ParetoHealth does not provide employment visa sponsorship for this position
• Candidates must be authorized to work in the United States without sponsorship both now or in the future

About the company

ParetoHealth is the largest and fastest-growing benefits captive in the United States. Headquartered in Philadelphia, the company helps small and midsize employers manage healthcare costs through a data-driven model.