Talenthop
United States
Data Architect - BI Analytics Platform
- Gdpr
- GIT
- Machine Learning
- Python
AI Summary
Own end-to-end data science problem areas at Harbor Health, especially risk adjustment and claims. Build analyses, models, dashboards, and operational workflows that inform decisions and move measurable outcomes. Requires 5+ years of hands-on data science or quantitative modeling with strong SQL and Python.
Key Highlights
Fully remote Senior Data Scientist role
Owns end-to-end problem areas in risk adjustment and claims
Builds data, models, dashboards, and operational workflows
Requires 5+ years of data science or quantitative modeling
Healthcare experience preferred but not required
Key Responsibilities
Take vague questions from leaders and turn them into defined problems, plans, and recommendations
Build tables, pipelines, and definitions in SQL, Python, and dbt
Answer questions with appropriate analysis, forecasting, or predictive modeling and validate results
Deliver results as dashboards, operational work lists, or leadership recommendations
Own accuracy, documentation, adoption, and measurable impact of shipped work
Work directly with stakeholders and explain tradeoffs in plain language
Use AI tools efficiently and responsibly and share effective workflows
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Technical Skills Required
Benefits & Perks
Comprehensive medical, dental and vision benefits
401(k) with company match
Generous PTO and paid holidays
Professional development and growth opportunities
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Nice to Have
Relevant healthcare experience
Health plan, provider, or value-based care analytics with claims, eligibility, or clinical data
Risk adjustment experience (HHS-HCC, CMS-HCC, RAF, EDGE, RADV)
Medical economics experience (PMPM, utilization, cost trend)
Actuarial-adjacent work
Advanced degree
Job Description
Brief Description
Senior Data Scientist
Harbor Health
This is a FULLY REMOTE position
Position Overview
Harbor Health runs both a health plan and a medical group, so data science here sits where cost, risk and care meet. We are hiring Senior Data Scientists to own whole problem areas, not slices of someone else's project: you define the questions that matter, build the analysis or model, put it in front of the people who act on it, and stay with it until the result is in use.
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