Senior Data Scientist, Predictive Modeling, Credit & Risk

About the role

This role sits within Carvana’s Credit & Risk modeling space, working on high-impact predictive models that inform risk assessment and decisioning across the business.

Responsibilities

• Improve core credit and risk models through a sequence of incremental advancements in accuracy, robustness, and coverage over time.
• Leverage a wide range of structured and unstructured data sources across multiple modalities to drive sustained improvements in model accuracy and decision quality.
• Design, train, and deploy advanced machine learning models, including (but not limited to) gradient boosting, representation learning, embeddings, and transformer-based approaches.
• Use high-impact models as a testing ground for new techniques and data modalities, validating which ideas deliver measurable lift in production.
• Exercise strong judgment about model complexity and tradeoffs, balancing sophistication with reliability and maintainability.
• Partner closely with data engineering and platform teams to ensure models are production-ready, scalable, monitorable, and maintainable.
• Translate successful work into reusable patterns, abstractions, or signals that can be adopted across other modeling efforts.
• Serve as a technical leader within the Predictive Modeling organization through design reviews, code reviews, and informal mentorship.

Requirements

• 5-8+ years of experience building and deploying predictive models in production environments.
• A demonstrated track record of delivering models and improving them iteratively over time, not just developing them offline.
• Strong experience with modern machine learning techniques (e.g., LightGBM/XGBoost, neural networks, representation learning).
• Excellent statistical intuition, including comfort reasoning about bias/variance tradeoffs, generalization, and experimental validity.
• Fluency in Python and SQL, with production-quality coding standards.
• Prominent ability to take ambiguous, open-ended modeling problems from idea → experiment → production impact.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Math, Quantitative Economics, or similar field from an accredited undergraduate institution required.
• Hands-on experience with embeddings, transformers, or other deep representation models in real-world systems (a plus).
• Experience integrating unstructured or semi-structured data (text, images, documents, device signals) into predictive models (a plus).
• Familiarity with model monitoring, drift detection, and retraining strategies for high-impact decision systems (a plus).
• Experience working in credit, risk, fraud, underwriting, or similar high-stakes modeling environments (a plus).

Skills

Research experience is a plus only if paired with a strong bias toward delivery and production impact.

Benefits

• Full-Time Salary
• Medical, Dental, and Vision benefits
• 401K with company match
• A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more
• A great wellness program to keep you healthy and happy both physically and mentally
• Access to opportunities to expand your skill set and share your knowledge with others across the organization
• A company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development
• Seat in one of the fastest-growing companies in the country

Legal Stuff

• Hiring is contingent on passing a complete background check.
• This role is eligible for visa sponsorship.
• Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law.
• Carvana also prohibits harassment of applicants or employees based on any of these protected categories.