Manager, Data Science, Marketplaces

Posted 8 Days Ago
Be an Early Applicant
Tempe, AZ
Mid level
Automotive • Computer Vision • eCommerce • Virtual Reality
The Role
Lead a team of Data Scientists to build predictive models for vehicle demand and optimize bidding processes in Carvana's wholesale marketplace. Collaborate with product and engineering teams to enhance transaction processes and optimize business strategies using data-driven decision-making.
Summary Generated by Built In

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).

We’ve been changing the game since 2013, and we’re not taking our foot off the gas now. Here are a few of our stories!  

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. 

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

  • Leading a team of Data Scientists to build and productionalize modeling products through all stages of development from ideation to model maintenance and measurement of results.
  • Working closely with our senior leaders in Product, Experience, and Software Engineering teams to deliver impact on every aspect of the transaction processes, from search to vehicle delivery. 
  • 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
  • Utilizing 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.
  • Working with multiple valuation sources related to retail and wholesale vehicle pricing.
  • Using market data to analyze wholesale/retail assortment and pricing vs. market competition.
  • Other duties as assigned.

What you should have

  • Degree in Data Science, Engineering, Applied Math, Operations Research, Computer Science, Statistics, Econometrics
  • 5+ years of experience managing sophisticated analytics and data science teams.
  • 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.
  • Comfortability acting as a player/coach in both solving technical challenges as well as leading a team.
  • 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.

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.

The Company
Tempe, AZ
4,500 Employees
On-site Workplace
Year Founded: 2012

What We Do

Carvana Adds 3D Computer Vision and Augmented Reality Expertise with Mark Cuban-Backed Car360 PHOENIX--(BUSINESS WIRE)-- Carvana (NYSE: CVNA), a leading e-commerce platform for buying used cars, has acquired fellow technology innovator Car360, accelerating Carvana’s 360-degree photo technology capabilities with 3D

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