Staff Applied Scientist

Upstart

. Research machine learning and statistical approaches to improve predictive performance of unsecured underwriting models .

Posted 10/16/2026full-timeRemote • United States, CanadaLead💰 $199,500 - $276,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in machine learning and statistical modeling, with a strong foundation in probability and statistics. Proven ability to design experiments and validate models to enhance predictive performance in underwriting applications.

Highest-signal resume keywords

Machine LearningStatistical ModelingPython DevelopmentExperimental DesignModel Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingProbabilityStatisticsModel EnhancementPredictive PerformanceData AnalysisQuantitative ResearchRigorous ExperimentationValidation Analysis

Certifications & Qualifications

Graduate Degree in MathematicsGraduate Degree in StatisticsGraduate Degree in Computer Science

Industry Keywords

Unsecured UnderwritingPredictive ModelingQuantitative FieldTechnical ReviewsDeployment

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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