About Carvana

If you like disrupting the norm and are looking for a company revolutionizing an industry then you will LOVE what Carvana has done for the car buying experience. Buying a car the old fashioned way sucks and we are working hard to make it NOT suck. At Carvana, our customers can hop online to...

• Search and browse our inventory of over 20,000 vehicles that we own and certify.
• Narrow down search results using highly intelligent filtering tools/components.
• View vehicle details, Carfax reports, and 360 rotating studio images for every vehicle.
• Secure financing in minutes using Carvana’s in-house service or their own bank.
• Interact with GUI components to easily customize loan length, down payment, and monthly payment.
• Generate, upload, and eSign all documents online (no ink necessary).
• Schedule front door delivery or pick up at one of our vending machines.
• Trade-in their existing vehicle or just sell it to Carvana (no purchase necessary).

For more information on Carvana and our mission, you can learn more about what it’s like to work here from the people that already do. 

THIS IS A 100% ON-SITE POSITION (Monday through Friday)

About the team and position

In today’s world, data is king and this is the team with all the data. If you’re excited about understanding complex data sets from disparate sources, this is the team for you. Our data science and analytics team automates everything Carvana does from modeling consumer behavior to understanding how to make our users’ lives better. 

We’re looking for an enthusiastic individual to join our Predictive Modeling team as a Data Scientist focused on fraud and verifications. This role uses data from across Carvana and external sources to understand past consumer behavior, identify high risk indicators, and predict future behavior. You will work cross-functionally with data analysts, engineers, and our Finance team stakeholders to build models that manage risk throughout the auto finance business and the purchase process. The Predictive Modeling team consists of top-caliber professionals who use a large array of data and apply cutting edge methods in machine learning, experimental design, statistics, as well as simulation and optimization to drive top-line results.

What you’ll be doing

• Use your heavy statistical and econometric background to build state-of-the-art predictive models to identify fraudulent customers and activities. 
• Develop algorithms that improve model performance and/or efficiency.
• Work with our data engineers to ensure models are implemented correctly and efficiently.
• Communicate analytical findings on your work to the finance, underwriting, and verification teams as well as executive leadership.
• Discover new ways to drive value through data featurization and exploration. 
• Measure model performance and impact through experimental design.
• Identify and drive the implementation of new data sources.
• Assist in building and maintaining team Data Science best practices.
• Other duties as assigned.

What you should have

• Graduate degree in a quantitative discipline such as Math, Statistics, Economics, or Econometrics with an undergraduate degree in a similar discipline.
• 2+ years of experience doing quantitative analysis, with proven experience delivering results on research or analytics projects.
• Fluency in SQL and at least one statistical package such as Python, R, SAS, MATLAB, etc.
• Adept at managing projects to completion without guidance.
• Ability to clearly communicate ideas and execution plans to both technical and non-technical teams.
• Thrive (and prefer to work) in a dynamic, fast-paced environment with frequently changing goals and deadlines.

What we’ll offer in return

• Full-Time Salary Position with a competitive 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.
• A seat in one of the fastest-growing companies in the country.

Other requirements

To be able to do your job at Carvana, there are some basic requirements we want to share with you.

• Must be able to read, write, speak and understand English.

Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. 

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.

Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.