Warranty Data Scientist

Position Overview:

Are you passionate about transforming data into actionable insights that drive product quality and customer satisfaction? We are seeking a strategic and hands-on Data Science Manager to lead Warranty Analytics and Programs within our North America Technical Services organization.

This high-impact role blends advanced data science with deep operational knowledge of warranty processes, product reliability, and customer service. You will lead a talented team of data scientists, analysts, and system owners, driving predictive analytics and early detection of emerging warranty trends using diverse datasets across the enterprise.

We're looking for a visionary leader with strong program management skills, technical depth, and a customer-centric mindset. Your ability to influence cross-functional teams and implement sustainable, fair warranty policies will be key to success. A background spanning product development, quality assurance, and dealer/aftersales operations is highly desirable.

Key Responsibilities:

Team Leadership & Strategy:

• Lead, mentor, and grow a high-performing team of data scientists, analysts, and warranty system owners.
• Define and execute a forward-looking data strategy for warranty analytics and reporting.
• Align analytics initiatives with business goals across engineering, quality, service, product, and IT teams.
  

Data Science & Analytics:

• Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends.
• Analyze complex datasets to support root causes of product failures.
• Serve as System Administrator for SAS Base and Enterprise Guide, ensuring optimal tool performance.
• Develop intuitive dashboards and KPIs to monitor warranty health and product reliability.
  

Warranty Operations Programs & Support:

• Manage dealer SMART Warranty assignment and Labor Rate and Part Mark-up adjustments
• Deliver data-driven insights to shape warranty programs, policies, and cost recovery strategies.
• Manage and continuously improve weekly, monthly, and quarterly reporting processes.
• Collaborate with internal stakeholders to enhance component reliability and field performance.
• Provide actionable intelligence to technical service teams using field and internal data sources.

Process Improvement:

• Identify and implement automation opportunities to streamline data workflows and improve data integrity.
• Champion best practices in data governance, model validation, and documentation.

Basic Qualifications:

• Bachelors degree in Data Science, Statistics, Engineering, Computer Science, or related technical field
• 8+ years of experience in data science, including 2+ years in a leadership role
• Proven expertise in warranty analytics, reliability engineering, or technical service
• Proficiency in Python, R, SQL, and visualization tools (e.g., Power BI, QlikSense, Tableau)
• Experience with machine learning frameworks and cloud platforms (e.g., Snowflake, AWS, Azure, GCP)
• Strong communication and stakeholder engagement skills

Preferred Qualifications:

• Knowledge of Six Sigma, FMEA, and other quality improvement methodologies
• Industry experience in automotive, manufacturing, or consumer electronics
• Hands-on experience with SAS Base, SAS native language, and Enterprise Guide
• Familiarity with ERP and warranty systems (e.g., SAP, Oracle, Salesforce)
• Master's degree in Data Science, Statistics, Engineering, Computer Science, or related field