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Data Scientist

LinkedIn Nissan Motor Corporation Franklin, TN
Not Applicable Posted April 4, 2026 Job link
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Requirements
  • Advanced analytical skills.
  • Quantitative Analytics.
  • Proficient in Machine Learning and programming languages.
  • Automotive Aftersales Service Retention and Service Retention drivers or related knowledge preferred.
  • Advanced ETL capabilities using SQL, Python, Snowflake, and AWS to data mine Aftersales business insights and create data pipelines to support business use-case execution Knowledge of NNA Systems preferred.
  • Excellent written and oral communication skills.
  • Hands on 5 to 7 years of Data Analytics experience with min 4 years of focus on Data Science experience required.
  • Experienced in development of predictive analytics related to data-driven use-cases in a business vs. an IT role.
  • Experience in designing effective data models, trend forecasts, and visualizations of analytics.
  • Proficient in Big Data management.
  • Proficient in statistics.
  • Proficiency in SQL / Python required.
  • Relational database modeling fundamentals required.
  • Experienced with ETL Self-Service Applications desired.
Preferred Skills
  • Automotive Aftersales Service Retention and Service Retention drivers or related knowledge preferred.
  • Understanding of US Market and dealer Service operations preferred.
  • Hands on 5 to 7 years of Data Analytics experience with min 4 years of focus on Data Science experience required.
  • Professional Certifications in AI or Data Science are advantageous.
  • Experienced with ETL Self-Service Applications desired.
  • Web Development is a plus.
  • Business, Aftersales, Purchasing, Service Marketing experience is preferred.
  • Technical automotive parts experience beneficial.
  • Bachelor's degree in Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Technology or related field required.
  • Master's degree preferred.
Education
  • (Not required) – Education Requirement: Bachelor's Degree
  • (Not required) – Quantitative Analytics.
  • (Not required) – Education:
  • (Required) – Bachelor's degree in Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Technology or related field required.
  • (Not required) – Master's degree preferred.