Data Scientist
Core
Drive advanced analytics, machine learning, and AI initiatives to transform data into actionable insights for business decision-making and innovation in automotive aftersales.
Role type
Data Scientist
Builds
Predictive/prescriptive/AI analytics models, dashboards, and BI solutions for Service Retention and related KPIs.
Domain
Automotive / Aftersales / Data Science
Deliverable
production ML models | dashboards & analysis
Required skills
Machine Learning, SQL, Python, Statistics, ETL, Data Modeling, Predictive Analytics, Data Visualization, Big Data Management, Relational Database Modeling
Preferred skills
Automotive Aftersales Service Retention knowledge, US Market and dealer Service operations knowledge, NNA Systems knowledge, Web Development, ETL Self-Service Applications
Technologies
SQL, Python, Informatica Prep, Snowflake, AWS, Power BI
Responsibilities
Design technical solutions and visualizations to meet business needs; Develop complex predictive/prescriptive/AI analytics models; Provide insights and recommendations using internal and external data; Develop, maintain, and manage advanced reporting and BI solutions; Extract, validate, and analyze data using extraction tools; Conduct end user tests and develop database queries to troubleshoot issues; Participate in iterative development and gather requirements to improve existing systems.
Seniority
Mid-Senior (5-7 years total, 4+ in Data Science)
