[Hiring] Data Scientist @J.D. Power

Role Description

As part of the Valuation Services division of JD Power, you will work to understand what features drive a vehicle's price and run processes to predict future values. Our data science team is accountable for every data point we output and provides industry-leading, accurate, transparent analytics. We are looking for a Data Scientist who will be free to use the latest technologies to solve challenging problems, create innovative processes from the ground up, deploy them into production on our AWS server, and develop the tools for monitoring them. We are a mature and tight-knit data science team looking to add another top-shelf team member ready to make a difference in the automotive industry.

Qualifications

• Curiosity and passion for solving problems with data
• Great attention to detail and a focus on organization, logic, and data and code quality
• 2+ years of professional experience working with large datasets
• 2+ years of professional experience with statistical programming software (Python/Pandas required, Spark preferred)
• 2+ years of professional experience with database software (SQL, RedShift, Hive, MYSQL)
• Experience working with AWS tools (S3, Sagemaker, Glue, Lambda…)
• Ability to communicate technical processes to both peers and a lay audience
• Master’s Degree in Statistics, Data Science, Economics, or a related field

Requirements

• Experience with automotive market data
• Expertise deploying CI/CD with cloud-based systems, managing code in Git
• Experience with Tableau for data visualizations
• Experience with prompting and implementing generative AI output into workstreams
• Some shareable examples of production data pipelines, product deployments, or data visualizations you have created
• Experience deploying machine learning models into production with an API

Benefits

• This position has a starting salary range of $85,000 - $90,000 CAD per year.
• An employee’s pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location.