Upstart
Applied Scientist
$142K–$196K
United States +2 · Remote · Full-time · Posted Aug 4, 2026
- Location
- United States
Remote
Remote - Experience
- 0–2 years conducting machine learning, statistical modeling, or applied quantitative research in an academic or industry setting.
- Education
- Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field.
About the job
Researches and implements validated machine learning and statistical improvements to Upstart’s unsecured underwriting models, supporting reliable production credit decisions.
What you'll do
- Research, design, implement, and evaluate model enhancements using rigorous experimentation and validation.
- Analyze model performance and downstream effects to verify improvements to credit decisioning.
- Partner with engineering teams on technical reviews, implementation, and deployment; document findings and recommendations.
What they ask for
- Graduate degree in a quantitative field such as mathematics, statistics, physics, econometrics, operations research, or computer science.
- 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 to assess model accuracy, reliability, or predictive performance.
Nice to have
- PhD in a quantitative field.
- Knowledge of supervised learning, model evaluation, and feature engineering techniques.
Pay
$141,500 — $196,000 USD (base salary)
Tools
Python
AI focus
Research and improve machine learning models for unsecured credit underwriting and decisioning.
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