Staff Applied Scientist

Posted 2 weeks ago

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About the role

  • Staff Applied Scientist improving machine learning models for Upstart’s AI lending marketplace. Researching predictive performance and deploying reliable unsecured credit decisioning solutions.

Responsibilities

  • Research machine learning and statistical approaches to improve predictive performance of unsecured underwriting models
  • Design, implement, and evaluate model enhancements using rigorous experimentation and validation
  • Analyze model performance and downstream effects
  • Partner with Engineering teams on technical reviews, implementation, and deployment
  • Translate research findings into 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
  • 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
  • Role operates on East/West coast time zones
  • Must be able to live and work in the U.S. or Canada outside Quebec

Benefits

  • Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
  • Retirement benefits including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually
  • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
  • Comprehensive health coverage including medical, dental, vision, and wellness resources for US; supplemental health coverage for Canada
  • Health Savings Account contributions for eligible US plans
  • Life insurance and disability coverage
  • Paid time off, sick leave, and company holidays
  • Paid family and parental leave
  • Family-centered fertility, parenthood, and caregiving benefits
  • Employee Assistance Program offering mental health support and life-centered resources
  • Financial planning tools and financial concierge service (US only)
  • Annual wellness allowance
  • Annual productivity allowance for relevant tools and resources
  • Team events, all-company updates, and employee resource groups
  • Catered lunches and stocked micro-kitchens at offices in the Bay Area, Austin, Columbus, and New York City

Job type

Full Time

Experience level

Lead

Salary

$199,500 - $276,000 per year

Degree requirement

Postgraduate Degree

Tech skills

Python

Location requirements

RemoteUnited States

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