Senior Data Scientist, Upstart

• Advanced degree in Statistics, Mathematics, Economics, Finance, or a related quantitative field
• 2+ years of experience in data science, analytics, or related fields
• Strong understanding of statistical, probability, and machine learning theory
• Strong proficiency in SQL for querying and analyzing large datasets
• Experience with Python and data analysis libraries
• Proven ability to translate complex data insights into business impact and strategic recommendations

Desirable

• At Upstart, our mission is to expand access to credit using advanced machine learning models that better evaluate true risk
• Our Machine Learning team researches and productionizes all of Upstart’s core predictive models
• If data is the new oil, then you’ll be responsible for the refining process that creates the most premium fuel possible
• You’ll work in an environment where actionable insights from data are valued and needed, so you’ll be able to see your analysis turn into measurable results for our company and our borrowers
• As a Data Scientist, you'll leverage technical and business acumen to become an expert in our models and how the models interact with the business
• Identify potential problems or opportunities for improvement, communicate these issues to the team, stakeholders and suggest solutions
• This involves self-directed investigation into our business and its data, designing and preparing regular reports, as well as conducting ad hoc analyses for the Machine Learning team, company leadership, and external business partners
• Collaborating with ML scientists, engineers, product managers, and growth marketers, your work will drive data-informed decisions and measurable business impact
• Build and refine metrics for model performance and help understand uncertainty around model performance
• Conduct in-depth data analyses to uncover growth opportunities and inform pricing strategy.
• Collaborate with engineers and analysts to build scalable data pipelines that enable efficient data access
• Partner with cross-functional teams (ML scientists, engineers, product managers, and growth marketers) to align on priorities and drive measurable business impact
• Develop dashboards and reporting tools to monitor key metrics and track performance