Senior Applied Scientist

📋 Description

• Develop and evaluate machine-learning models that predict borrower repayment behavior and other
• Apply causal inference and experimentation to measure the impact of servicing interventions
• Translate model predictions and treatment-effect estimates into practical decision algorithms and
• Partner with Product and Engineering on payment experiences, autopay, and borrower communications
• Identify and develop machine-learning opportunities in servicing areas that have historically
• Explain analytical choices, tradeoffs, and findings to technical and non-technical partners to

🎯 Requirements

• Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations
• Experience applying causal inference methods and experimentation to real-world decisions in an
• Applied statistics, probability, and experimental-design expertise used to build or evaluate models
• Production-quality coding experience in Python, including data manipulation and algorithm
• 3+ years of experience conducting machine-learning, statistical-modeling, or applied quantitative

🎁 Benefits

• Competitive compensation, including base pay, bonus opportunities, and annual equity grants that
• Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings
• Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees
• Comprehensive health coverage designed to support you and your family, including medical, dental
• Health Savings Account contributions from Upstart for eligible plans (US only)
• Income protection benefits, including life insurance and disability coverage for added financial