Data Scientist

TRADER Corporation is a trusted Canadian leader in online media, dealer and lender services. The company is comprised of AutoTrader.ca, AutoSync and Dealertrack Canada. AutoTrader.ca (AutoHebdo.net in Quebec) offers the largest inventory of new cars and used cars in Canada, receiving over 25 million monthly visits to its marketplace. With over 3,500 subscribers and counting, AutoSync is the largest and fastest growing dealer and OEM software provider in Canada. The platform's suite of connected automotive software solutions brings advertising, conversion and operational support together, synchronizing the entire retail process. AutoSync's diverse range of offerings includes: vAuto, EasyDeal, xtime, Motoinsight, Activix, TAdvantage and TRFFK. Dealertrack is Canada’s largest automotive financing portal, enhancing efficiency and profitability for all major segments of the automotive, marine, recreational vehicle, motorcycle and powersport retail industries. Over 6.5 million credit applications are submitted via the Dealertrack Canada portal each year. Visit tradercorporation.com to learn more..

We are looking for a talented Data Scientist who will support very exciting AI products at Trader. The ideal candidate is comfortable working with analyzing large data sets to find opportunities to improve product performance and increase value to customers. In order to do that, it's important that this person knows how to communicate well with all levels of the organization, ranging from peer Data Scientists to business stakeholders. They must have a proven ability to drive business results and comfortable communicating recommendations and findings to a business audience. The right candidate will have a passion for growing their data science acumen.

 

·       Use predictive modeling to increase and optimize customer experiences across Trader products and services.

·       Work with the Product team to prototype new ideas, models, and ways of leveraging lots of data points to improve business outcomes.

·       Utilize appropriate cloud resources based on project demands and data workload needs to automate and productionalize data science processes.

·       Develop enrichment processes and procedures to improve the cleanliness, usability and understanding of data.

·       Proactively monitor existing Machine Learning models, their performance, output, and accuracy.

·       Management of large-scale data processing system for preparing structured and unstructured data for analytic modeling.

·       Work along with Support Teams to troubleshoot and identify customer-reported issues.

 

·       Experience within an Azure environment, or other cloud environments

·       Equivalent of 4-8+ years related work experience

·       Scientific approach, curiosity, creativity, and passion for finding the truth in data

·       Excellent team player with interpersonal skills

·       University degree in STEM field

·       Expert level in Python and SQL querying skills

·       Previous experience with training and maintaining ML models

·       Experience with analytical tools and techniques

·       Experience with data cleaning, manipulation, and wrangling

·       Experience using structured and unstructured data, from internal and external sources

·       Initiative and ability to work with little supervision in cross functional teams 

·       Ability to collaborate with other teams to achieve organization’s goal

 

·       Previous experience in fintech industry is advantageous

·       Experience with ownership of end-to-end data science projects