SUMMARY OF JOB
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing TRADER’s customer and consumer data sets.
The ideal candidate is adept at using large data sets to find opportunities to improve product performance and increase value to dealers, and using models to test the effectiveness of different courses of action.
They must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations.
They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Key Areas of Responsibility :
Building Attribution Models
Develop and maintain attribution models to help customers understand marketing campaign performance and return on investment from their marketing investments across online and offline channels.
Work with internal stakeholders in Marketing, Product and Sales to implement and continually back test and refine models as necessary
Work with large data sets from different source systems, transforming and cleaning online and offline data to discover actionable insights
Develop easy to understand visualizations to convey insights to dealers and present clear calls to action
Extract, clean and transform customer and consumer data from across Trader’s business for the purposes of analysis, modeling, and prediction
Predictive Model Development and Data Mining
Use predictive modeling to increase and optimize customer experiences on the autoTRADER marketplace, drive revenue generation, and improve ad targeting
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Work with stakeholders throughout the organization to identify opportunities to leverage company and consumer data to drive business solutions and capitalize on opportunities
Work cross functionally to integrate predictive models within Trader systems as needed.
Work closely with the Analytics team to develop best practices and standards for data modeling and management that improve the quality of Trader's data product deliverables
Develop comprehensive testing and measurement programs that quantify and optimize models developed with each successive execution
Collaborate with BI, Analytics, ISIT and Sales to identify and secure data needed to increase the effectiveness of Trader’s predictive models
Identify internal and 3rd party data required to enhance and improve model accuracy; provide input and advice to ISIT / MI / BI teams