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