DataScientist(GlobalManufacturingAnalytics)

## **Job Description** As a Data Scientist for Global Manufacturing Analytics, you will combine analytics, statistics, machine learning, AI, and business understanding to solve complex manufacturing and operational challenges at scale. You will be part of the transformation team building end-to-end decision intelligence capabilities - from KPI design, data interpretation to operational insights, forecasting, scenario modeling, and business actions - to improve productivity, quality, throughput, and customer satisfaction across the global manufacturing network. You will lead cross-functional digital initiatives from concept to rollout- translating operational challenges into scalable decision-intelligence solutions, dashboards, models, and alerts that support both strategic and management decisions. **Responsibilities:** Deliver data-driven insights, executive dashboards, and scenario modeling to support manufacturing and operations decision-making. Apply statistics, machine learning, and AI techniques to identify patterns, predict operational risks, and improve proactive decision-making. Develop Control Tower analytics and operational intelligence solutions for areas such as: * productivity and throughput * quality and yield * delivery and backlog risk * cost and margin drivers * manufacturing network performance Design and develop scalable dashboards, decision-support tools, and AI-enabled workflows with strong focus on explainability, usability, and actionability. Drive automation and advanced analytics using Python, SQL, BI tools, and cloud technologies to improve operational visibility and reduce manual effort. Improve data quality, KPI definitions, and metric reliability to enable consistent and trusted decision-making across sites and regions. Partner with manufacturing, engineering, quality, supply chain, and digital teams to align analytics solutions with operational priorities and global standards. Lead rapid prototyping and MVP development to accelerate le