The Aftersales Data Scientist develops complex predictive analytics models to identify business expansion opportunities and optimize marketing decisions
Job Summary
The Aftersales Data Scientist develops complex predictive analytics models to identify business expansion opportunities and optimize marketing decisions.
Nissan offers career growth, continuous learning opportunities, and a comprehensive benefits package including medical, mental health, parental leave, and unique employee vehicle programs.
The role involves collaborating with internal and external experts, ensuring regulatory compliance, and acting as a strategic advisor to leadership.
Matching Summary
The Aftersales Data Scientist develops complex predictive analytics models to identify business expansion opportunities and optimize marketing decisions.
Skills & Requirements
Must-have
Python programming
Big data cloud infrastructures
Statistical and machine learning methods
SQL and ETL capabilities
Predictive and prescriptive analytics
Data modeling and cleansing
Advanced reporting and dashboard development
Nice-to-have
Automotive aftersales service knowledge
Understanding of US dealer service operations
Experience with dynamic pricing models
Cross-functional leadership
Excellent communication skills
Experience with AWS and Snowflake
Ability to work onsite in Franklin, TN
Key Requirements
Bachelor’s degree in applied mathematics, statistics, or related field
At least 6 years of relevant experience
Legal authorization to work in the United States
Proficiency in machine learning and programming languages
Advanced ETL skills using SQL, Python, Snowflake, and AWS
Work Rights
Must be legally authorized to work in the United States