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Tier-1 brand, metro location, generalist Data Scientist title, and broad ML/dashboard requirements drive high competition.
Work is tied to quality, warranty, dealer and manufacturing data, limiting cross-industry transferability.
Requires specific BE degree, explicit 2 years experience, and domain-specific ML quality/warranty skills, so strict filters apply.
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Lead data-driven analysis to address quality issues, warranty failures, and customer complaints.
Develop predictive models to identify high-risk parts, processes, and suppliers to reduce field failures and warranty costs.
Create analytics applications and dashboards for complaint screening, decision support, and management reviews; collaborate with cross-functional teams to deploy solutions and drive digital transformation in Quality & Warranty functions.
Bachelor's degree in IT, Electronics and Communication Engineering (ECE), or Electrical and Electronics Engineering (EEE).
Minimum 2 years of relevant work experience.
Experience with predictive modeling, statistical and machine-learning techniques, and data integration from multiple sources.
Not explicitly mentioned in the JD: notice period or location constraints.
Experienced in applying advanced analytics including predictive modeling to manufacturing and warranty data.
Familiarity with root cause analysis methodologies (8D, 5-Why, DDPS) and cross-functional collaboration with Quality, Warranty, Manufacturing, and IT teams.
Ability to drive digital transformation initiatives through data-driven automation and analytics in quality and warranty domains.