Staff Research Scientist, Upstart

• 3+ years of experience building and deploying ML models in a production environment
• Strong academic credentials with a master's degree in statistics, mathematics, economics, computer science, or other quantitative areas of study
• Programming skills in Python
• Proficiency in a broad array of mathematical, statistical learning and machine learning concepts and applications
• Ability to proactively and effectively communicate results and methodologies to both technical and non-technical stakeholders
• Strong sense of intellectual curiosity balanced with humility, drive and teamwork
• Experience building performant and large scale ML models at a tech company
• Experience working as part of a diverse, cross-functional team

Desirable

• As a Staff Research Scientist at Upstart, you will help to build the foundational models that power always-on underwriting across our product portfolio
• You will understand the core underwriting model for each product and build models that can approximate their behavior using less data and/or somewhat outdated data
• You will help determine whether/when new data needs to be gathered before an offer can be made, and when an “always on” offer should be honored vs updated based on new information.
• You'll be launching an entirely new customer experience that will transform Upstart from a “one-time” option to get a loan at a discrete point in time to a relationship based model in which borrowers are continuously made aware of credit options that meet their needs
• Collaborate with and influence partner teams, ensuring that data-driven recommendations lead to strategic business decisions
• Build scalable models and associated metrics and monitoring processes.
• Quickly prototype and test new models that can improve accuracy and borrower experience with always-on offers