Salary
💰 $126,400 - $175,000 per year
About the role
- Research and implement industry-leading methodologies for explaining complex machine learning models
- Evaluate model fairness in the lending space and mitigate potential fairness disparities via less discriminatory alternative searches
- Strive to understand dynamics of production models to inform business decisions
- Work as part of the Fairness and Explainability team focused on research and development to ensure models are compliant, robust, and engender trust with external stakeholders
- Collaborate with Research Scientists, Data Scientists, ML Engineers, and other teams to build, enable and evaluate core production models
- Convert ideas into testable hypotheses and operationalize solutions into production
Requirements
- Strong academic credentials with a master's degree in statistics, mathematics, economics, physics, operations research, computer science, or other quantitative areas of study; Ph.D. preferred
- Programming skills in Python
- Full-stack expertise with all steps of the modeling process from ideation to productionalizing code; OR deep expertise in either statistical modeling or machine learning
- Experience and interest in ML explainability or fairness; OR demonstration of high potential to learn quickly and contribute to these areas
- Proficiency in a broad array of mathematical, statistical learning and machine learning concepts and applications
- Detailed understanding of building good technical solutions; ability to convert ideas into testable hypotheses and/or next steps
- Ability to meet team standards with respect to quality and velocity with minimal help or direction from peers
- For more complex tasks, ability to break down problems into smaller tasks, and use them to estimate the timeline of executing a larger initiative. Willingness to make the right tradeoffs when needed to deliver projects on time
- Proactively communicate to stakeholders and teammates with ability to contextualize technical results
- Strong sense of intellectual curiosity balanced with humility, drive and teamwork
- Numerically-savvy and smart with ability to operate at a speedy pace
- Enthusiasm for and alignment with Upstart’s mission and values