RBAI – Data scientist, Customer, Quality

Overview

You will lead data-driven analysis to address quality issues, warranty failures, and customer complaints, and build analytics solutions to improve quality and reduce warranty costs.

What you'll do

• Perform warranty analysis and optimization to reduce field failures and warranty cost.
• Develop predictive models to identify high-risk parts, processes, and suppliers.
• Support root cause analysis using methods including 8D, 5-Why, and DDPS.
• Optimize quality and warranty processes using statistical and machine-learning techniques.
• Create dealer-level analytics applications for complaint screening, decision support, and investigation.
• Design dashboards and reports for quality, customer, and management reviews.
• Integrate data from plants, dealers, suppliers, and field return systems.

What you'll need

• BE in IT, ECE, or EEE.
• 2 years of experience.
• Hands-on expertise in statistical analysis and machine learning techniques.
• Strong data visualization and dashboard skills (Power BI, Tableau, Minitab, etc.).
• Ability to perform data-driven root cause analysis (5-Why, Pareto, correlation analysis).
• Proficiency in Python or R for analytics and model development.