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Principal Data Scientist

Job not on LinkedIn

đŸ”„ 3 minutes ago

đŸ‡ș🇾 United States – Remote

đŸ’” $182.3k - $252.5k / year

⏰ Full Time

🔮 Lead

📊 Data Scientist

🩅 H1B Visa Sponsor

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Logo of Upstart

Upstart

1001 - 5000 employees

🚘 Automotive

đŸ’Œ Consulting

đŸ„ Healthcare

Automotive ‱ Consulting ‱ Healthcare

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. The company focuses on revolutionizing lending and credit risk evaluation by leveraging its AI marketplace, which allows for higher approval rates and lower loss rates for Upstart-powered banks and credit unions. Recently, Upstart has expanded its offerings to include automobile refinancing. With a mission to enable effortless credit based on true risk, Upstart is also known for its digital-first lending experience and holds a significant position in the financial services sector.

📋 Description

‱ 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

‱ 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

đŸ–ïž 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 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

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