Arlo
Senior Data Scientist
$170K–$220K
New York City · On-site · Senior · Full-time · Posted Aug 27, 2026
- Experience
- 5+ years as a data scientist building predictive models that made it into production.
About the job
Own and improve Arlo’s production health-insurance underwriting model, using claims data and real-world outcomes to estimate medical costs and set competitive, sustainable group prices.
What you'll do
- Evaluate the underwriting model, identify gaps and causal factors, and prioritize model and feature improvements.
- Develop member-risk features and experiment with ML architectures, accounting for data bias and cost variability.
- Backtest model changes for effects on medical loss ratio (MLR) and competitiveness, then work with ML engineers to deploy them.
What they ask for
- 5+ years building predictive models that made it into production.
- Deep proficiency in Python and SQL; comfort processing large datasets using Spark and common modeling packages.
- Direct experience with healthcare data.
- Track record of owning ambiguous problems end-to-end and shipping without a provided specification.
Nice to have
- Familiarity with claims data and its quirks and biases.
- Background in underwriting, actuarial sciences, or risk adjustments.
Pay
$170,000- $220,000 USD base salary
Tools
Python, SQL, Spark
AI focus
Use machine learning to predict members’ future medical costs and improve underwriting and pricing.
Model-written summary · the original posting is authoritative