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Senior Data Scientist

3 months ago

Tempe, United States Carvana Full time

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 automates everything Carvana does from modeling consumer behavior to understanding how to make our users’ lives better. 

In order for all of this to work, we must understand the market for used cars. We act not only as a buyer, but through our marketplaces provide services for dealers, lenders, and automotive companies to best position them in maximizing their goals.  This position will involve deep focus on our wholesale marketplace business and the underlying predictive models, optimization frameworks, and automation capabilities.  Our solutions integrate multiple predictive models and interoperate with pricing, reconditioning, and assortment optimization frameworks to drive the best B2B marketplace experiences.  

What you’ll be doing

  • Building and extending predictive models related to vehicle demand, reconditioning expenses, bid win probabilities, recommendation engines, and total transaction value
  • Building simulation capabilities to predict win volume vs. bidding policy in upcoming vehicle auctions
  • Analyzing tradeoffs between inventory diversity and wholesale auction availability in optimizing assortment
  • Improving bidding optimization policy to drive improvements in KPIs related to profitability and turn times
  • Analyzing regional / geographic variations in supply and demand
  • Utilize data and rigorous analytical methods to drive decision-making across all areas of the business including purchasing, pricing, inventory control, demand modeling and forecasting, product mix optimization, and logistics
  • Work with multiple valuation sources related to retail and wholesale vehicle pricing
  • Use market data to analyze wholesale/retail assortment and pricing vs. market competition
  • Develop visualization, reporting, and explainability tools to monitor purchasing KPIs and help the purchasing team understand the key drivers of bid optimization
  • Work closely with our Product, Experience, and Software Engineering teams to deliver impact on every aspect of the transaction processes, from search to vehicle delivery. 
  • Other duties as assigned

What you should knowWe will always care most about finding fast learners who have a great attitude and are self-starters. And while our ideal candidate would have the following skills, we’re happy to teach the right candidates certain skills on the job.

  • Degree in Data Science, Engineering, Applied Math,  Operations Research, Computer Science, Statistics, Econometrics
  • 3+ years of experience doing quantitative analysis, with proven experience managing major research or analytics projects
  • Excellent hands-on data analysis and visualization skills
  • Thorough understanding of machine learning algorithms, tools and techniques
  • Deep understanding and experience in one or more of the following topics: Optimal Control, Dynamical Systems Theory, Nonlinear optimization, Reinforcement Learning, Neural Networks, Monte Carlo Methods, Discrete Event Simulation, Bayesian Inference, Time Series Analysis, Portfolio Optimization
  • Experience in applying one or more of the above techniques to practical business problems in supply chain, pricing, revenue management, and/or inventory control settings
  • Experience in developing production-quality code (Python, R) is a plus
  • Strong fluency in SQL and OLTP databases 
  • Strong understanding of statistics and data mining methods
  • Experience with large data sets (e.g., Spark, Hadoop, BigQuery) is a plus
  • Experience with containerized code (Docker, Kubernetes) and serverless deployment frameworks (AWS Lambda, GCP Cloud Run, etc.) a plus
  • Ability to manage competing priorities independently and push projects to completion with minimal guidance
  • Ability to communicate ideas and complex technical concepts effectively to technical and non-technical audiences
  • Experience with remote working tools (Zoom, Slack)

What we’ll offer in return

  • Full-Time Salary Position with a competitive salary
  • Medical, Dental, and Vision benefits
  • 401K with company match  (Employee health 100% covered by Carvana)
  • 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

Legal stuff

Hiring is contingent on passing a complete background check.  This role is not 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.