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Upstart

Applied Scientist

Upstart · United States | Remote

Posted about 3 months ago · Previously reposted

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

Is this posting real?

This role has been open
81 days
Upstart's roles stay open a median of 82 days
Reposted
Yes
taken down and listed again at least once
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 enhancing existing machine learning models and developing new ones to optimize borrower acquisition across various marketing channels. Your role involves analyzing historical data, designing experiments, and collaborating with cross-functional teams to translate business challenges into effective machine learning solutions. You will also work on expanding machine learning capabilities into new marketing areas beyond direct mail.

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

  • Master’s Degree in Mathematics, Statistics, Economics, Operations Research or a related field
  • Experience applying statistical and machine learning methods to modeling or data science problems
  • Experience using Python for data analysis, data preparation, and machine learning model development
  • Experience with causal inference and experimental design, including statistically rigorous evaluation of model or experiment performance

Nice to have

  • PhD in Mathematics, Statistics, Economics, Operations Research or a related field (or its equivalent)
  • Knowledge of causal machine learning methods and modeling approaches
  • Ability to translate broadly scoped business problems into structured research questions, analyses, and modeling approaches
  • Experience working across exploratory data analysis, machine learning research, experimentation, and production model development and scaling
  • Ability to interpret complex experimental or modeling results and translate findings into actionable recommendations

What you get

  • Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
  • Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
  • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
  • Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada
  • Health Savings Account contributions from Upstart for eligible plans (US only)
  • Income protection benefits, including life insurance and disability coverage for added financial security

Worth weighing

  • Remote work with occasional in-person collaboration; expect to meet once or twice per quarter for 2-4 consecutive days
  • No specific mention of the tech stack beyond Python and machine learning methods
  • The role involves navigating complex datasets which may require strong problem-solving skills

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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