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Tier-1 brand, metro location, and generalist Data Scientist title drive high applicant competition.
ML and analytics skills are transferable, but automotive warranty and manufacturing domain knowledge increases fit sensitivity.
Explicit 2-year requirement plus required ML, Python/R, and quality analytics skills increase screening strictness.
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Lead data-driven analysis for quality issues, warranty failures, and customer complaints to reduce field failures and warranty costs.
Develop and deploy predictive models to identify high-risk parts, processes, and suppliers using manufacturing and field data.
Design dashboards and analytics applications for complaint screening, decision support, and quality and warranty management reviews, collaborating with cross-functional teams for digital transformation.
Bachelor's degree in IT, ECE, or EEE.
At least 2 years of hands-on experience in statistical analysis, machine learning, and warranty or quality data analytics.
Proficient in Python or R for analytics and model development.
Strong skills in data visualization tools such as Power BI, Tableau, or Minitab.
Experience working with warranty, manufacturing, and field return data for root cause analysis using methods like 5-Why and Pareto analysis.
Ability to integrate data from multiple sources (plants, dealers, suppliers) and collaborate effectively with Quality, Warranty, Manufacturing, and IT teams.
Proven track record in driving digital transformation and automation within Quality & Warranty functions through analytics solutions.