Research Scientist

Posted 14 Hours Ago
Easy Apply
2 Locations
Remote
123K-171K Annually
Mid level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Upstart is dedicated to improving access to credit for all. Why? Because credit really matters.
The Role
The Research Scientist will focus on productionalizing and deploying machine learning models within the Personal Loans, Underwriting team. Responsibilities include building and maintaining risk evaluation models, collaborating with the Machine Learning team, and applying statistical and machine learning methods to improve Upstart's lending marketplace.
Summary Generated by Built In

About Upstart

Upstart is a 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 two-thirds of Upstart loans are approved instantly and are fully automated.

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!

The Team:

At Upstart, our mission is to expand access to credit using advanced machine learning models that better evaluate true risk. As part of this, our teams focus on developing models across various verticals, including Growth marketing, Auto Loans, and Personal Loans Underwriting. These teams are critical to the success of Upstart, directly impacting our customer acquisition efforts and revenue generation through predictive modeling, innovative algorithms, and cross-functional collaboration.

Our Machine Learning (ML) Teams work on creating and deploying production models that power key aspects of Upstart’s business:

  • Growth: Models that predict conversion probabilities and prioritize high-potential prospects for outbound marketing.
  • Auto Loans: Models that underwrite all auto loans, assessing true borrower risk based on innovative features and methodologies.
  • Personal Loan Underwriting: Models that evaluate every applicant’s risk, having a direct impact on Upstart’s core business.

As a Research Scientist, you will have the opportunity to work in one of these highly specialized teams, contributing to the development and deployment of business-critical models, optimizing marketing strategies, underwriting processes, and enhancing business metrics.

The Role:

  • Research and develop new machine learning models to enhance the accuracy of predictions in borrower risk, marketing conversions, or underwriting processes.
  • Design, prototype, and deploy models to production, ensuring robust and scalable implementations.
  • Collaborate cross-functionally with engineers, product managers, and marketing specialists to experiment with and optimize models for business outcomes.
  • Evaluate the performance of models, interpret their impact on business metrics, and present actionable insights to stakeholders.
  • Continuously explore novel algorithms and methodologies to keep Upstart’s ML systems at the cutting edge of technology.
  • Mentor junior team members and contribute to the development of a high-quality, production-ready codebase.

Minimum Qualifications:

  • Bachelor’s degree in a scientific or quantitative discipline (e.g., Math, Physics, Computer Science, Statistics, Economics, Operations Research).
  • 2+ years of experience in Machine Learning or a similar field.
  • Proficiency in Python or other programming languages.
  • Strong understanding of statistical, probability, and machine learning theory.
  • Full-stack expertise in the modeling process from ideation to production, OR deep expertise in either statistical modeling or machine learning.
  • Ability to break down complex tasks into smaller steps and make the right tradeoffs to deliver projects on time.
  • Ability to communicate technical concepts effectively to non-technical stakeholders.
  • Strong sense of intellectual curiosity, humility, and teamwork.

Preferred Qualifications:

  • Master’s degree or PhD in a quantitative discipline (e.g., Math, Physics, Economics, Computer Science, Statistics, Operations Research).
  • Deep expertise in Python and experience with machine learning frameworks.
  • Experience leading or mentoring junior members in a technical team.
  • Proficiency in building and deploying machine learning pipelines and engineering architecture.
  • Strong critical thinking skills and ability to develop testable hypotheses.
  • Proven ability to meet high standards in terms of quality and velocity with minimal direction.

What you’ll love: 

  • Competitive Compensation (base + bonus & equity)
  • Comprehensive medical, dental, and vision coverage
  • Personal Development and Technology & Ergonomic Budgets 
  • Life insurance and disability benefits 
  • Clubs and Activities  (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams) 
  • Generous vacation policy
  • 401(k) and Employee Stock Purchase Plan (ESPP)
  • Catered lunches + snacks & drinks

Position Location: This role is available in remote locations across the United States. Team collaboration happens through a mix of remote and in-person sessions, with regular on-site meetings happening 1-2 times per quarter.


#LI-REMOTE

#LI-Associate

At Upstart, your base pay is one part of your total compensation package.  The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

United States | Remote - Anticipated Base Salary Range

$123,200$170,500 USD

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together. 

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected]

https://www.upstart.com/candidate_privacy_policy

Top Skills

Python

What the Team is Saying

Steph
Manan
Nat
May
The Company
HQ: San Mateo, CA
1,500 Employees
Remote Workplace
Year Founded: 2012

What We Do

Upstart is the leading AI lending marketplace, connecting millions of consumers to more than 100 banks and credit unions that leverage Upstart’s AI models and cloud applications to deliver superior credit products. With Upstart's AI, lenders can approve more borrowers at lower rates across races, ages, and genders, while delivering the exceptional digital-first experience customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Founded in 2012, Upstart’s platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar “relief” loans.

If you are energized by the impact you think you could make at Upstart, we'd love to hear from you!

Why Work With Us

Connection to our mission creates a special environment where people feel passionately about the impact they make in the world. Upstart is fast-paced, and we encourage ownership at all levels of the organization. As a result, culture at Upstart is driven by Upstarters. Upstarters are proactive, talented, multi-dimensional and collaborative.

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Upstart Offices

Remote Workspace

Employees work remotely.

Upstart has a digital-first model enabling most Upstarters can live and work anywhere in the U.S. We also offer in-person options from our office locations in San Mateo, California; Columbus, Ohio; and Austin, Texas.

Typical time on-site: None
HQSan Mateo, CA
Austin, TX
Columbus, OH
Learn more

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