About this role
Upstart is hiring a Principal Data Scientist for a remote position in the United States to shape strategic direction for credit and subscription products. This role suits an experienced quantitative professional who thrives in ambiguous environments and wants to partner with product and machine learning leaders.
Role Overview
The Product and Growth Analytics team at Upstart seeks a Principal Data Scientist to act as a strategic thought partner to leaders across product, finance, marketing, and machine learning. Operating in a digital-first environment, this position focuses on driving evidence-based decision-making and developing technical measurement tools for new subscription-based offerings.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Upstart operates an artificial intelligence lending marketplace that partners with banks and credit unions to expand access to affordable credit. The company uses thousands of signals and millions of predictions per borrower to power fair financial decisions. Operating with a digital-first philosophy, Upstart employs team members across multiple regions and encourages periodic in-person collaboration through regular team onsites.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location requirement for this role?
This is a remote position based in the United States, operating under Upstart's digital-first philosophy which includes occasional in-person team onsites.
How many years of experience are required?
Candidates must have 8 or more years of experience in data science or quantitative roles.
What is the salary range for the Principal Data Scientist?
The anticipated base salary range is $182,300 to $252,500 USD, depending on geographic location, skills, experience, and training.
What benefits does Upstart offer employees?
Benefits include base pay, bonuses, quarterly vesting equity grants, a 401(k) match up to $15,000, medical, dental, vision, Health Savings Account contributions, life insurance, disability coverage, paid time off, and parental leave.
What statistical methods are expected for this position?
The role requires deep statistical expertise, mastery of experimental design and A/B testing, and knowledge of causal inference methods.
