About this role
Job title: Lead Advanced Analytics and Data Science
About the Role Lead advanced analytics and data science initiatives that generate predictive, prescriptive, and root-cause insights across Voice of the Customer (VOC), product quality, and customer care data. This role leverages statistical modeling, machine learning, and AI/GenAI techniques to proactively identify risks, optimize operations, and drive measurable improvements in customer satisfaction and product quality.
What You'll Do
- Lead advanced analytics roadmap across VOC, Customer Care, and Product Quality; identify high-impact analytical opportunities aligned with enterprise objectives; drive measurable improvements.
- Develop and deploy predictive models for warranty forecasting, churn prediction, and case escalation risk; apply statistical modeling, time-series forecasting, and trend analysis.
- Lead complex root cause analyses; integrate VOC, operational, and warranty data to generate actionable insights and support decision-making.
- Apply NLP and GenAI to unstructured VOC data (surveys, call transcripts, cases); develop scalable frameworks for sentiment analysis, topic modeling, and automated insight generation.
- Design and execute experiments (A/B testing, causal analysis) to evaluate process improvements and customer experience initiatives; deliver prescriptive recommendations.
- Partner with Data Engineering to build scalable datasets and analytics-ready environments; ensure models are integrated into reporting solutions; present findings to senior leadership and lead data scientists and analysts; establish modeling standards and drive predictive insights for enterprise decisions.
What We're Looking For
- Bachelor's degree in a quantitative field; Master's preferred (Data Science, Analytics, Engineering, etc.).
- Eight or more years in data analytics and/or data science.
- Strong experience with statistical modeling, machine learning, time-series forecasting, NLP, GenAI.
- Ability to translate complex results into actionable business actions and communicate with senior leadership.