Carvana

Senior Data Scientist, Marketplaces

Tempe, AZ
Docker Kubernetes Machine Learning Python SQL PostgreSQL MySQL
Description

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, sneak a peek at our company introduction video or learn more about what it’s like to work here from the people that already do

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 informs everything Carvana does from creating the valuation algorithm to influence purchasing decisions to understanding the driver affecting future market conditions.  

What you’ll be doing

  • Design, develop, and maintain data models and pipelines for the cloud data warehouse to support decision-making and critical software applications.
  • Partner with stakeholders to define success metrics, guide technology investments, and translate analytical findings into actionable business strategies.
  • Build and implement optimization algorithms, ensure seamless system integration, and enhance scalability through performance analysis and prototyping.
  • Aggregate and automate data processing from diverse sources, ensuring data quality and discovering new sources to improve analytics capabilities.
  • Develop prototypes and minimum viable products (MVPs) to address business challenges, and implement solutions with a focus on scalability and maintainability.
  • Take ownership of other analytics and data-related tasks as assigned, contributing to the overall success of the team and organization.

What you should know

  • Ph.D. or Masters degree in Engineering, Applied Math,  Operations Research, Computer Science, or Statistics.
  • 5+ years of experience doing quantitative analysis, with proven experience managing major research or analytics projects.
  • Strong foundation in statistical theory and practical experience developing machine learning models, clustering algorithms, dimensionality reduction techniques, optimization solutions, and time series forecasting.
  • Demonstrated ability to apply advanced analytical methods to real-world business challenges, particularly in domains such as supply chain optimization, pricing strategies, revenue management, and inventory control.
  • Proficiency in developing production-quality code in Python or similar object-oriented programming (OOP) languages.
  • Advanced experience with SQL and relational database systems (e.g., Snowflake, PostgreSQL, SQL Server, MySQL).
  • Proven experience in designing and developing production data pipelines and API-driven solutions, leveraging tools such as Docker and Kubernetes.
  • Ability to manage multiple priorities independently, deliver results with minimal supervision, and push projects to successful completion.
  • Excellent ability to convey complex technical concepts and ideas clearly and effectively to both technical and non-technical audiences.
  • Experience working with semi-structured and unstructured data, with a strong preference for expertise in automotive industry datasets and vehicle valuation.

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 skillset 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. 

Carvana
Carvana
Automotive Autonomous Vehicles E-Commerce

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