Job Description

Category
Analytics
Business Unit
Corporate
Address
5430 Lyndon B Johnson Fwy
City
Dallas
State/Province
TX
Postal Code
75240
Country
US

Overview

DriveTime Needs a Machine Learning Engineer

Headquartered in Tempe, Arizona and Dallas, TX, DriveTime is the largest privately owned used car sales and finance company in the country (yes, we are THAT good)! With more than 130 dealerships, 3 operations centers and 15 reconditioning centers across the nation, our 4,000+ employees are focused on getting the right customer in the right car, at the right terms.  With over 25 years of industry experience, and our dedication to streamlining the purchase process, we're redefining what it means to buy and finance a used car.

As focused as we are on our customer, we take that same focus on finding the right talent for the right opportunities within our organization.  Across the nation, from our home office and operations centers to our retail locations and reconditioning centers, we are looking for talented individuals like yourself to join our ever-growing team!

That’s Nice, But What’s the Job?

In short, as a Machine Learning Engineer you will design, develop and implement analytical solutions to support multiple products, business units and verticals.

In long, the Machine Learning Engineer is responsible for:

  • Work with business partners to define objectives and build appropriate analytical solutions
  • Partner with IT-DevOps to design, develop, maintain and implement of CI/CD pipelines for delivery of analytical solutions
  • Partner with Data Scientists in the development and implementation of models
  • Make recommendations and improve ML Ops design and cloud architecture

The Requirements.

  • Bachelor’s Degree in Math, Statistics, Physics, Computer Science, or related discipline. Master’s degree preferred.
  • 2+ Years of Experience Working in a Data Scientist or Statistician Role
  • 1+ Years of experience working with DevOps, MLOps or other CI/CD driven role
  • Demonstrated expertise in Python, R, Julia, Scala or other analytical software
  • Expertise in RMDBS and Big Data environments such as Snowflake.
  • Demonstrated experience in developing and deploying statistical learning/machine learning techniques with significant business outcomes
  • Experience in microservices environments such as Docker/Kubernetes
  • Experience with Linux, git/version control and Build/release pipelines.
  • Experience designing and building MLOps processes in Azure, AWS or GCP. Cloud certifications preferred
  • Experience coaching Jr Data Scientists and leading complete data science projects end-to-end

Anything Else?  Absolutely.

DriveTime was awarded Top Companies to Work for in AZ by AZCentral.com for our great culture and one of the Best Places to Work in IT as awarded by PBJ.  Essentially we offer a creative, transparent and fun environment since, well, we work here too.  DriveTime was also voted the Fastest-Growing Private Companies by Inc 5000, and we aren’t slowing down anytime soon!

So What About the Perks?  Perks matter.

  • Medical, Dental and Vision. DriveTime pays a nice chunk of your premiums to keep the cost as low as possible for our employees.
  • 16 days of PTO and 6 paid Holidays. Because who doesn’t love time off?
  • Benefits like 401(k), company paid life insurance, short and long-term disability.
  • Casual Dress. Come dressed in jeans (you’ll fit right in with the rest of us).
  • Game Room. Gimme a break – no, not a Kit Kat ad but we do have a ping-pong table, pool table and Virtual Reality if you ever need a break in your day.
  • Wellness Program and In-House Gym. We want our employees to be the best versions of themselves. That’s why we offer a Wellness Program that includes an in-house gym, B12 shots, teeth cleanings, biometric screenings and much more!
  • Growth opportunities. DriveTime takes a lot of pride in promoting from within. We have spent the last 14 years growing our team members and taking them on the path to owning their careers!

Need help finding the right job?

We can recommend jobs specifically for you!Click here to get started.

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

Apply Online