JD Power's Valuation Services division needs to understand what features drive a vehicle's price and predict future values to provide industry-leading, accurate, transparent analytics for the automotive industry.
Requirements
- Expertise in advanced feature engineering and AI/ML model building.
- Mastery of SQL, Python/R, and Advanced Excel for advanced data manipulation.
- In-depth knowledge of AWS SageMaker, Palantir Data Science Integrations or other Machine Learning frameworks.
- 4+ years of professional experience working with large datasets
- 4+ years of professional experience with statistical programming software (Spark, Python preferred)
- 4+ years of professional experience with database software (RedShift, Hive, SQL, MYSQL)
- Professional expertise deploying cloud-based ML Ops systems
Responsibilities
- Leading end-to-end data science projects.
- Designing and implementing complex feature engineering strategies.
- Building and deploying advanced AI/ML and classical regression models.
- Conducting advanced model evaluation and optimization.
- Documentation of machine learning processes
- Involves leading and managing complex end-to-end data science projects.
- Work with the product team to develop the analytics that will power new products
Other
- Ability to communicate technical processes to a lay audience
- Presentation experience
- Curiosity and passion for solving problems with data
- Master’s Degree in Statistics, Data Science, Economics, or a related field
- Experience with automotive market data
