Principal Data Scientist

Upstart

. Proactively identify gaps in how the business approaches problems .

Posted 10/6/2026full-timeRemote • United StatesLead💰 $182,300 - $252,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and quantitative analysis, with a strong focus on experimental design, A/B testing, and causal inference methods. Capable of translating complex data insights into actionable business strategies while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Data Science ExperienceExperimental Design MasteryCausal Inference ExpertiseStrong Coding SkillsExceptional Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

A/B TestingCausal Inference MethodsForecastingSpend Allocation OptimizationMarketing IncrementalityAttribution AnalysisMetrics Framework DevelopmentStatistical AnalysisData TranslationHypothesis Development

Soft Skills

Problem-SolvingInfluencing Without AuthorityCollaborationAdaptabilityStorytelling

Tools & Technologies

ML ApplicationsRecommendation SystemsPersonalization AlgorithmsData Visualization ToolsStatistical Software

Industry Keywords

Quantitative AnalysisBusiness StrategyStakeholder EngagementDecision-Making FrameworksOrganizational Change

About the role

Key responsibilities & impact

Proactively identify gaps in how the business approaches problems
Partner with stakeholders to frame foundational questions and build solutions
Design, build, and own forecasting, spend allocation, marketing incrementality, and attribution tools
Design and execute A/B tests and complex causal inference analyses
Own hypothesis development, experiment design, and results interpretation
Build metrics frameworks and measurement strategies
Collaborate with the ML organization on complex technical challenges
Translate ambiguous business problems into decision-making frameworks
Own work end-to-end from scoping and analysis through storytelling and organizational change
Influence engineering, product, finance, and executive leadership without direct authority

Requirements

What you’ll need

8+ years of experience in data science or quantitative roles with direct impact on product or business strategy
Demonstrated mastery of experimental design and A/B testing
Deep statistical expertise, including causal inference methods
Strong coding skills
Track record of translating data into actionable business decisions with non-technical stakeholders
Comfort operating in ambiguous environments and shaping direction through thoughtful inquiry
Exceptional communication skills and ability to translate complex technical work into clear narratives
Exposure to ML applications and ability to partner with ML/data science teams on technical challenges
Familiarity with personalization, recommendation systems, or matching algorithms
Experience with forecasting, spend allocation optimization, marketing incrementality, or attribution is highly preferred

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 medical, dental, vision, and wellness coverage/resources
Supplemental health coverage for Canada
Health Savings Account contributions 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 fertility, parenthood, and caregiving benefits
Employee Assistance Program (EAP) with 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)
Catered lunches and stocked micro-kitchens at offices in the Bay Area, Austin, Columbus, and New York City