# Applied Scientist

**Company:** [Upstart](https://hotfix.jobs/companies/upstart)
**Location:** Remote
**Role:** AI Research
**Salary:** $142k – $196k/yr
**Experience:** 0+ years
**Skills:** Machine Learning, Statistical Modeling, Python, probability, Statistics, supervised learning, feature engineering, Model Evaluation, experiment design, validation analysis, predictive modeling, large-scale data
**Posted:** 2026-08-04

> Conduct machine learning and statistical research to improve unsecured underwriting models, evaluating enhancements through rigorous experimentation and validation. The role requires a graduate degree in a quantitative field, Python modeling experience, and 0–2 years of applied research experience.

## Job Description

## Responsibilities
- Research machine learning and statistical approaches that improve the predictive performance of unsecured underwriting models.
- Design, implement, and evaluate model enhancements using rigorous experimentation and validation methods.
- Analyze model performance and downstream effects to confirm that proposed changes improve decisioning reliably.
- Partner with engineering teams on technical reviews, implementation, and deployment.
- Translate research findings into clear recommendations, documented methodologies, and production-ready solutions.

## Requirements
- Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field.
- 0–2 years of experience conducting machine learning, statistical modeling, or applied quantitative research in an academic or industry setting.
- 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-haves
- PhD in a quantitative field.
- Knowledge of supervised learning, model evaluation, and feature engineering techniques.
- Experience working with large or complex datasets and translating research concepts into implemented solutions.
- Ability to balance research velocity with analytical rigor, model reliability, and responsible decision-making.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly and collaborate with cross-functional teams and stakeholders.

## Compensation and Benefits
- Anticipated base salary range: **$141,500–$196,000 USD**. Actual base pay varies by geographic location, skills, experience, education, and training.
- Target bonuses, equity compensation, and benefits.
- Medical, dental, and vision coverage, with Health Savings Account contributions for eligible US plans.
- 401(k) or Group Retirement Savings Plan with company match.
- Employee Stock Purchase Plan for eligible US employees.
- Life and disability insurance.
- Paid time off, sick leave, company holidays, and paid family and parental leave.
- Family-centered fertility, parenthood, and caregiving benefits.
- Employee Assistance Program and financial wellness resources.
- Annual wellness and productivity allowances.
- Remote work with regular team onsites and in-person meetings.

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