Data Scientist (Global Manufacturing Analytics)
Core
Build end-to-end decision intelligence capabilities (KPI design, forecasting, scenario modeling) to improve productivity, quality, and throughput in global manufacturing.
Role type
Senior IC data scientist (manufacturing analytics)
Builds
Executive dashboards, Control Tower analytics, operational intelligence solutions, and AI-enabled workflows for manufacturing operations.
Domain
Manufacturing operations / Industrial analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Statistics, machine learning, AI modeling, Python, SQL, data visualization (Tableau/Power BI/Qlik/Spotfire), KPI design, scenario modeling, data quality management, cross-functional leadership, rapid prototyping.
Preferred skills
Manufacturing operations/industrial engineering background, PMP/Scrum Master certification, cloud platforms (AWS/Azure/GCP), MES/shopfloor data aggregation, Industry 4.0 technologies.
Technologies
Python, SQL, Tableau, Power BI, Qlik, Spotfire, AWS, Azure, Google Cloud, MES systems.
Responsibilities
Design and develop scalable dashboards and decision-support tools; apply statistics and ML to predict operational risks; drive automation and advanced analytics to improve visibility; improve data quality and KPI definitions; partner with engineering and supply chain teams; lead rapid prototyping and MVP development.
Seniority
Senior, hands-on IC