Upstart
Staff Applied Scientist
$200K–$276K
United States +2 · Remote · Staff · Full-time · Posted Oct 16, 2026
- Location
- United States
Remote
remote - Experience
- 2+ years; academic or industry experience.
- Education
- Graduate degree in a quantitative field.
About the job
Researches, evaluates, and implements improvements to Upstart’s unsecured underwriting models for credit decisioning.
What you'll do
- Research and test machine-learning and statistical approaches to improve model performance.
- Analyze model outcomes and downstream effects using rigorous experiments and validation.
- Partner with Engineering teams to review, implement, and deploy production-ready model improvements.
What they ask for
- Graduate degree in a quantitative field such as mathematics, statistics, physics, econometrics, operations research, or computer science.
- 2+ years conducting machine learning, statistical modeling, or applied quantitative research in academia or industry.
- Experience developing and evaluating machine-learning or statistical models using Python.
- Knowledge of probability, statistics, and machine-learning methods; experience designing experiments or validation analyses.
Nice to have
- PhD in a quantitative field.
- Knowledge of supervised learning, model evaluation, and feature engineering; experience with large or complex datasets.
Pay
$199,500 — $276,000 USD (base salary)
Tools
Python
AI focus
Machine-learning research and model improvements for unsecured credit underwriting and decisioning.
Model-written summary · the original posting is authoritative