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Upstart

Applied Scientist

Upstart · United States | Remote

Posted about 3 months ago

or apply directly on Upstart's site. We never take the application ourselves.

Is this posting real?

This role has been open
79 days
Upstart's roles stay open a median of 82 days
Reposted
No
Salary listed
No
0% of Upstart's roles list one
Ghost-job risk at Upstart
high
93 stale, 5 reposted of 93 open
Hiring momentum
135 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Upstart's own greenhouse board since 2026-08-03. Full hiring picture for Upstart.

About this role

As an Applied Scientist at Upstart, you will focus on researching and implementing enhancements to the company's unsecured underwriting model. Your responsibilities include conducting machine learning research, designing and evaluating model improvements, analyzing performance, and collaborating with engineering teams to translate research into practical solutions. This role directly impacts credit decision-making and aims to improve the pace and reliability of model development.

Our read on this posting2.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Upstart as an employer.

What you need

  • 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.
  • Demonstrated 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.
  • 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 clearly explain technical concepts and collaborate effectively with cross-functional teams and stakeholders from diverse backgrounds.

What you get

  • Competitive Compensation (base + bonus & equity)
  • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
  • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
  • Employee Stock Purchase Plan (ESPP)
  • Life and disability insurance
  • Generous holiday, vacation, sick and safety leave

Worth weighing

  • No specific salary listed, but a range is provided based on location.
  • The role involves a balance of research and practical implementation, which may vary in focus depending on team needs.
  • The majority of work can be done remotely, but there are expectations for in-person collaboration periodically.

Summarised from Upstart's posting. Read the full original.

Listed by Upstart on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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