Research Scientist at Upstart

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

170500.0

Posted On

06 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Statistical Modeling, Data Analysis, Collaboration, Model Evaluation, Algorithm Development, Mentoring, Critical Thinking, Production Deployment, Marketing Optimization, Underwriting Processes, Predictive Modeling, Teamwork, Communication, Curiosity

Industry

Financial Services

Description

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; Austin, Texas; and New York City, NY (opening Summer 2026). 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 with Health Savings Account contributions from Upstart Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year Employee Stock Purchase Plan (ESPP) Life and disability insurance Generous holiday, vacation, sick and safety leave Supportive parental, family care, and military leave programs Annual wellness, technology & ergonomic reimbursement programs Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering Catered lunches + snacks & drinks when working in offices 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. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. 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 candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

Responsibilities

Research and develop new machine learning models to enhance predictions in borrower risk and marketing conversions. Collaborate with cross-functional teams to optimize models for business outcomes and evaluate their performance.