Hiring: Health Plan Data Scientist Company: SCAN Location: Long Beach, CA Job Posted Time: 2026-09-16 18:48:26 Employment Type: Contract Target Skills & Keywords : Agile, Azure DevOps, CPT, Databricks, EMR, ICD-10, LLM, LangChain, MLOps, MLflow, Machine Learning, Medicare, Python, RAG, SAFe, SQL, Scrum, Snowflake About the job Experience: •3+ years working experience, preferably including healthcare industry experience •3+ years applying data science and analytical methods (e.g., statistical modeling, segmentation, trend analysis, machine learning, GenAI/agentic AI) to identify and quantify business or medical cost opportunities •1+ years of experience writing SQL code in relational database environment •2+ years of experience writing code in Python and/or R Required Skills: •This role will collaborate with clinical, network, payment integrity, and finance stakeholders to convert analytic findings into total cost of care strategy, in support of SCAN's mission of keeping seniors healthy and independent. Qualifications: •Bachelors Degree in statistics, mathematics, computer science, or related field required •Graduate or Advanced Degree in statistics, mathematics, computer science, or related field required •Solid functional working knowledge of GenAI/LLM tools for synthesizing structured and unstructured health plan data (claims, clinical notes, contracts), preferred •Clinical code knowledge related to claims/utilization, preferred. •Operational familiarity with payment integrity concepts (DRG validation, claims editing, coordination of benefits recovery, billing/coding accuracy), preferred. •Understanding of claims and encounter data structures (837/835, UB-04, CMS-1500, DRG, revenue codes, ICD-10, CPT/HCPCS), preferred. •Operational familiarity with core managed care economics (PMPM, MLR, IBNR) and total cost of care trend decomposition, preferred. Compensation: •$106,200 - $182,983 / year •An annual employee bonus program Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!