About the job
About Carvana...
At Carvana, we are revolutionizing the way individuals buy and sell cars. Our bold vision and innovative approach aim to make the process enjoyable, swift, and just. Carvana has rapidly ascended to become the fastest-growing automotive retailer in history. In just eight years, we have expanded nationwide, became a publicly traded entity on the New York Stock Exchange, sold our one millionth vehicle, and secured a position in the Fortune 500 list.
With over 4 million retail customers and counting, Carvana stands as both the fastest-growing and the most profitable public automotive retailer. We are only at the beginning of our journey and are excited to raise the standards for our customers while seizing the vast opportunities that lie ahead in this major consumer sector.
Joining our team means being part of a dynamic environment that embraces transformation, fosters creativity in problem-solving, and continually seeks improvement. At Carvana, you will tackle significant challenges, gain rapid insights, and contribute to shaping the future of automotive retail. If you are motivated to grow and make a substantial impact within a collaborative setting, you will thrive here. Discover more about the experiences of our current employees.
Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday.
About the Team and Position
In today’s data-driven landscape, data reigns supreme, and our team is at the forefront of this movement. If you are passionate about deciphering intricate data sets from various sources, then this is the perfect opportunity for you. Our data science and analytics team is responsible for automating every aspect of Carvana, from modeling consumer behavior to enhancing user experiences.
Everyone aspires to predict the future, and our team excels in doing just that. We aggregate data from Carvana and external sources to analyze past consumer behaviors and forecast future trends. Whether assessing credit risk or optimizing inventory and pricing strategies, this team is always on the cutting edge.
What You’ll Be Doing:
- Identify, acquire, and productionalize new data sources, both structured and unstructured, to support our data science team.
- Design and maintain the predictive modeling data pipeline, facilitating data acquisition, model building, production scoring, and ongoing model maintenance.
- Architect robust and scalable data pipelines for predictive model training, monitoring, and serving.
- Collaborate with data scientists and software engineers to build and deploy new RESTful services.
- Design and develop high-availability applications utilizing technologies such as Docker and Kubernetes.
