Applied Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $141.5k - $196k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Upstart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚘 Automotive

💼 Consulting

🏥 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

• Develop causal machine-learning models to optimize customer offers across the funnel • Analyze complex data, identify knowledge gaps, and design experiments to gather evidence • Measure the impact of offer changes using statistically rigorous experiments and evaluations • Translate research and results into recommendations, decision strategies, and next steps • Build production-ready models and code for offer selection • Partner with Partnerships leadership, Product, Engineering, peer machine-learning teams, and model-risk partners on strategy, implementation, and methodology

🎯 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 applying causal inference methods and experimentation to real-world decisions in an applied-science or data-science context • Applied statistics, probability, and experimental-design expertise used to build or evaluate models or interventions • Production-quality coding experience in Python, including data manipulation and algorithm implementation • PhD in a quantitative field (preferred) • Experience with marketplace optimization, causal machine-learning methods, treatment-effect modeling, supervised learning, model evaluation, feature engineering, and production-model development (preferred qualifications)

🏖️ 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 employees • 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 benefits supporting fertility, parenthood, and caregiving • 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 work 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