Research Scientist

Freddie Mac; United States; Remote; USD 123,000 - 171,000; Full time

Job summary

An innovative firm is seeking a Research Scientist to join its mission of expanding access to credit through advanced machine learning. In this role, you will develop and deploy predictive models that enhance borrower risk evaluations and marketing strategies. Collaborating with cross-functional teams, you will play a key role in optimizing business metrics and driving impactful results. This position offers the flexibility of remote work while providing a collaborative environment that fosters intellectual curiosity and teamwork. Join us in making a difference in the lending landscape!

Benefits

Competitive Compensation (base + bonus & equity)

Comprehensive medical, dental, and vision coverage

Personal Development and Technology & Ergonomic Budgets

Life insurance and disability benefits

Generous vacation policy

401(k) and Employee Stock Purchase Plan (ESPP)

Catered lunches + snacks & drinks

Clubs and Activities (Game Nights, Book Club, etc.)

Qualifications

• 2+ years of experience in Machine Learning or a similar field.
• Full-stack expertise in the modeling process from ideation to production.

Responsibilities

• Research and develop new machine learning models to enhance accuracy.
• Collaborate with engineers and product managers to optimize models.

Skills

Machine Learning

Python

Statistical Analysis

Data Modeling

Cross-Functional Collaboration

Education

Bachelor's degree in a scientific or quantitative discipline

Master's degree or PhD in a quantitative discipline

Tools

Machine Learning Frameworks

Statistical Software

Job 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; 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 [e-mail]

https://www.upstart.com/candidate_privacy_policy