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Market-Observed Role 🔍 Observed Likely Active (65-79)
This role was detected through Oscar Health's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Likely Active (65-79) based on freshness, specificity, and company patterns. What does this mean? →

Lead Data Scientist

Oscar Health
🔍 Observed
65
Hiring Activity Score
Likely Active (65-79)
  • Base score
  • Posted 21 days ago
  • has salary, has location, quality description (5123 chars)
  • Direct ATS (greenhouse)
How the Hiring Activity Score works →
$174K - $229K USD
Tempe, Arizona, United States First seen 3 weeks, 1 day ago Last seen 21 minutes ago Greenhouse
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Job Description

AI Summary
• Lead modeling and analytics initiatives for Oscar's claims payment system, partnering with operations and technology leaders to improve performance and automation efficiency • Drive insights through sophisticated data mining and measurement techniques, using SQL, R, and/or Python to build statistical/ML models and maintain data pipelines • Manage a team's technical and operations responsibilities while translating business goals into strategic plans and collaborating across functional areas • Requires 6+ years in quantitative technical fields, 4+ years with SQL/R/Python data analysis, and 4+ years building data models; healthcare/finance/insurance experience is a bonus • Hybrid role (3 days/week in NYC, LA, or Tempe office with Thursday required) offering $174,400–$228,900 base salary plus equity, benefits, and performance bonuses
Job Information
  • Company:
    Oscar Health
  • Location:
    Tempe, Arizona, United States
  • Experience Level:
    Mid
  • Source:
    Greenhouse
  • Status:
    Active
Activity Score
65 /100
Likely Active (65)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →

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🔍 Observed Market-Observed Roles

These roles were detected through employer hiring systems like Workday. They haven't been verified by the employer directly, so we score each one using our Hiring Activity Score — an algorithm that analyzes freshness, specificity, company hiring patterns, and more to estimate whether the role is actively being filled.

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