Senior Research/Data Scientist, Upstart

• Strong academic credentials with a master's degree in statistics, mathematics, economics, computer science, or other quantitative areas of study
• Knowledge of causal inference techniques and experimentation
• 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 solving real-world machine learning problems at a tech company
• Experience working as part of a diverse, cross-functional team

Desirable

• As a Senior Data Scientist at Upstart, you will design, implement, and analyze experiments to understand how borrowers respond to changes in the loan terms we offer them and measure the business impact of our attempts to optimize those loan terms
• You’ll do regular deep dive analyses to understand why we’re seeing what we’re seeing and to assess the potential opportunities of optimizing new areas of the marketplace
• You will regularly communicate with product managers and the business to explain your results, understand their concerns and interests, and partner with them to come up with novel analyses to answer as yet unanswered business questions
• As a Senior Research Scientist at Upstart you will work on optimizing our models through feature and architecture improvements, building new models for novel use-cases, and building decision systems based on these models to optimize our marketplace performance
• You will collaborate with product, engineering, and other scientists and communicate your approach and results to both technical and non-technical audiences, and contribute positively to the team’s culture
• Conduct detailed analysis and make recommendations to improve our models or our business
• Design, run, and analyze A/B tests and other experiments
• Write clean, readable code to execute reproducible analyses
• Develop and socialize approaches in collaboration with other scientists and cross-functional stakeholders
• Communicate and socialize findings to get buy in for recommended next steps
• Independently execute ML modeling and research projects, both to improve existing models and develop entirely novel models for new use cases
• Write clean, production quality code to train and deploy our models