ABOUT UPSTART

Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart’s AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.
Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!

MINIMUM QUALIFICATIONS [BOTH]

• 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.

PREFERRED QUALIFICATIONS

• PhD in in statistics, mathematics, economics, computer science, or other quantitative areas of study
• [DS] Expertise in causal inference and experimentation
• [RS] Expertise with causal ML techniques
• Experience with forecasting, especially demand forecasting
• Experience working on pricing systems
• [RS] 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
• [RS] Knowledge of MLops, pipelines, and engineering architecture
  Position location This role is available in the following locations: Remote
  Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

Please refer the Job description for details