CARMEL, Ind. — KAR Auction Services Inc., a provider of end-to-end vehicle remarketing services, announced this week the formation of a new Data Science Solutions Group (KAR DataSci). It will be led by Dr. Huey Antley, a seasoned advanced analytics leader and skilled data architect.
Antley, who will report directly to KAR COO Don Gottwald, will serve as vice president and chief data scientist of the new group. He most recently served as vice president of marketing analytics for KAR subsidiary Automotive Finance Corporation (AFC).
“KAR will commit the resources necessary to develop products specific to the auto remarketing industry that enable our customers to make better business decisions,” said Gottwald. “The KAR Data Science Solutions group is actively applying data science and predictive modeling to our business, leveraging the rich data assets collected over many years to optimize decisions in vehicle remarketing.”
KAR collects information on vehicles in the used-car, salvage, donation, repossession and dealer-to-dealer sectors. KAR DataSci will leverage these billions of data points to create and apply predictive algorithms that optimize customer returns and maximize results.
“In essence, we are bringing science to our customers to lower their operating costs, enable them to turn vehicles faster with less risk and ultimately help them be more successful,” said Dr. Antley. “I am excited to lead this talented team in applying advanced mathematical and computing science to data to meet our customers’ needs and deliver real business solutions.”
Antley joined the KAR group in 2014 from Mitchell International, a provider of software solutions for the property and casualty insurance industry. There, he served as director of analytics for the Mitchell’s ClaimsLab. Prior to Mitchell, he was chief data scientist for The Walt Disney Company’s Customer Data Environment. He brings more than 30 years of experience in applying data science, including roles at GMAC Financial Services (now Ally), HSBC Auto Finance and ALLTEL Information Services.
