Healthcare Data Scientist

SCAN Health Insurance•Long Beach, CA

3d•Hybrid

About The Position

This Data Scientist role will be a key member of SCAN's Applied Intelligence team, responsible for developing and applying appropriate advanced analytics techniques to support use cases across the health plan. Use cases will primarily but not exclusively span clinically-oriented priorities. Examples could potentially include improving member clinical outcomes, analysis of the economic and clinical impact of various benefits, building longitudinal predictive models, calculating lifetime value, and leveraging GenAI to identify insights from structured and unstructured data. This role will collaborate with business and technical leaders to use advanced analytics in support of SCAN's mission of keeping seniors healthy and independent.

Requirements

Bachelors Degree or equivalent experience in statistics, mathematics, computer science, or related field required
3+ years working experience, preferably including healthcare industry experience
3+ years experience using quantitative methods: Statistical modeling, machine learning, large language models, agentic AI, feature engineering
1+ years of experience writing SQL code in relational database environment
2+ years of experience writing code in Python and/or R
Experience with Snowflake and/or Databricks as well as Power BI.
Experience with Streamlit or other data as a service apps, preferred
Advanced knowledge of text analytics techniques leveraging LLMs, preferred
Experience in a Medicare Advantage or other managed care environment, preferred.
Clinical code knowledge related to claims/utilization, preferred.
Expertise in Snowflake and Databricks for ML/AI workloads, including optimization and governance.
Hands-on experience with LLM development (RAG, embeddings/vector databases, document summarization, chatbot/agent integration using LangChain / LangGraph or similar tools).
Familiarity with BI tools (Power BI, Tableau, Streamlit) and integrating ML outputs for business-facing solutions.
Strong interpersonal skills, including excellent written and verbal communication skills.
Familarity with MLOps practices, including MLflow, Azure DevOps, monitoring, and alerting.
Ability to appropriately maintain confidentiality.
Familiarity with Agile delivery methodologies (e.g. Scrum, SAFe)
Excellent written and verbal communication skills, with ability to explain AI/ML concepts to business and technical audiences.
Connects technical work to strategic health plan objectives, such as Stars improvement, member engagement, and cost management
Learns emerging AI/ML tools and healthcare regulations quickly and applies them responsibly in production environments
Knowledge of real world data (RWD), claims, EMR, and similar healthcare data

Nice To Haves

Graduate or Advanced Degree or equivalent experience in statistics, mathematics, computer science, or related field preferred

Responsibilities

Drive development and implementation of scalable advanced analytics (such as analytical, generative, and agentic AI) to derive insights from previously untapped data. Illustrative examples could include: Building predictive models to improve member clinical and experience outcomes, Developing segmentation models based on utilization patterns, social determinants of health, and other risk factors to prioritize interventions and help drive personalization efforts, Application of large language models (LLMs) to discrete data (e.g., foundation models, LLMs to synthesize vast quantitative/discrete data), Adaptive clinical program design, optimization, and analysis, Causal inference from observational data (e.g., doubly-robust estimation), Time series methods, including structure and forecasting, Compute optimization for massively scaled machine learning or statistical tasks, Geospatial analytics to support network optimization or growth strategy
Leverage strong business acumen to identify and prioritize advanced analytics use cases based on SCAN’s highest-value opportunities
Create requirements, test and train models, communicate findings with the business, and support model maintenance.
Help shape and implement SCAN’s data science and AI strategy in coordination with key stakeholders across the company. Manage multiple projects at a time based on the priorities and delivery methodologies of the Applied Intelligence team, while also being a mentor to other analytics practitioners.

Benefits

Base Salary Range: $106,200 to $153,705 annually
An annual employee bonus program
Robust Wellness Program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) Retirement Saving Plan with employer match
Robust employee recognition program
Tuition reimbursement
An opportunity to become part of a team that makes a difference to our members and our community every day!
A competitive compensation and benefits program
An annual employee bonus program
Generous paid-time-off (PTO)
Eleven paid holidays per year
Excellent Retirement Savings program
A work-life balance