• Advanced degree in Computer Science, Statistics, Mathematics, or a related quantitative field
• Proven track record of 5+ years of experience in applied machine learning, data science, or related roles
• Expertise in Python, and proficiency in machine learning frameworks (e.g., XGBoost, PyTorch, scikit-learn)
• Strong understanding of statistical modeling, and model development principles

Desirable

• Upstart aims to expand access to credit based on true risk
• Upstart’s Machine Learning, Growth Partnerships team builds models used to make loan offers on partner websites such as Credit Karma and NerdWallet, with the goal of expanding Upstart’s user base and driving product growth
• The team has a large revenue impact and is critical to Upstart’s success
• As a Staff Research Scientist on this team, you will develop advanced Machine Learning models used to optimize loan offers presented on partner websites
• You will design and engineer features that capture relevant signals and predictive patterns from various data sources
• You will develop rigorous testing frameworks and methodologies to evaluate model performance, robustness, and reliability
• You will collaborate with a variety of stakeholders including ML scientists, engineers, product managers and growth marketers
• Your work will drive cross-functional decision making and measurable results
• Lead the research, development, and implementation of machine learning models to improve loan offer recommendations on partner websites
• Collaborate with cross-functional teams including product managers, engineers, and data analysts to identify opportunities and address challenges
• Utilize state-of-the-art machine learning techniques to optimize model accuracy and conversion rates
• Mentor junior team members, contribute to knowledge sharing initiatives, and foster a culture of continuous learning and innovation within the team