Senior Applied Scientist

Upstart

. Lead end-to-end development of machine learning models, from problem formulation and experimentation through deployment and performance evaluation .

Posted 11/11/2026full-timeRemote • United States, CanadaSenior💰 $167,700 - $231,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and evaluating machine learning models, with a strong foundation in statistical methods and advanced modeling techniques. Proficient in translating complex requirements into actionable machine learning objectives while effectively communicating findings across technical and business teams.

Highest-signal resume keywords

Machine Learning Model DevelopmentStatistical AnalysisPython ProgrammingAdvanced Machine Learning MethodsLarge-Scale Data Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical MethodsModel EvaluationFeature DevelopmentExperiment DesignPredictive ModelingEnsemble LearningDeep LearningProbabilistic ModelingQuantitative Performance Metrics

Soft Skills

CommunicationCollaborationProblem-SolvingTechnical Decision-MakingStakeholder Engagement

Tools & Technologies

Machine Learning FrameworksDistributed Machine Learning SystemsProduction Environments

Industry Keywords

Computer ScienceEngineeringMathematicsStatisticsData Processing

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead end-to-end development of machine learning models, from problem formulation and experimentation through deployment and performance evaluation
Design and evaluate advanced modeling approaches to improve predictive accuracy, robustness, and operational effectiveness
Identify opportunities to improve existing models through feature development, experimentation, and rigorous statistical analysis
Partner with engineering, product, and business stakeholders to translate complex requirements into measurable machine learning objectives
Guide technical decisions, review scientific methodologies, and share expertise to improve the quality and effectiveness of the team’s work
Own complex modeling problems from initial investigation through production implementation
Help shape technical approaches and scientific best practices

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience
3 years of experience developing and evaluating machine learning models or applying statistical methods to production-oriented problems
Experience developing machine learning solutions using Python and established machine learning frameworks
Experience designing and evaluating experiments using statistical methods and quantitative performance metrics
Experience implementing, deploying, or maintaining machine learning models in production environments
Knowledge of advanced machine learning methods, including ensemble learning, deep learning, or probabilistic modeling
Ability to evaluate tradeoffs among model performance, interpretability, reliability, and computational efficiency
Experience with large-scale data processing or distributed machine learning systems
Skills in communicating complex scientific findings and recommendations across technical and business teams

Benefits

Comp & perks

Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
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 including medical, dental, vision, and wellness resources for US employees; supplemental health coverage for Canada
Health Savings Account contributions from Upstart for eligible plans (US only)
Life insurance and disability coverage
Paid time off, sick leave, and company holidays
Paid family and parental leave
Family-centered benefits supporting fertility, parenthood, and caregiving
Employee Assistance Program (EAP) 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 (ERGs)
Onsite perks including catered lunches and fully stocked micro-kitchens at offices