Senior Data Scientist - Supply Chain
Core
Design, build, and maintain scalable data automation solutions and AI/ML models to optimize global supply chain operations including forecasting, inventory, and logistics.
Role type
Senior individual contributor data scientist (supply chain automation & AI)
Builds
Scalable data pipelines, AI-enabled automation frameworks, predictive models, and operational dashboards for global supply chain functions.
Domain
Supply chain, manufacturing, logistics, and cloud infrastructure operations.
Required skills
SQL, Python, ETL/ELT pipeline design, data modeling, predictive analytics, machine learning, business intelligence, data governance, cloud platforms, scenario planning, capacity management.
Preferred skills
GenAI model building (training, fine-tuning, monitoring), Oracle Fusion Cloud Applications, supply planning concepts, distributed systems architectures.
Technologies
Oracle Fusion Cloud, Oracle Analytics Cloud, Tableau, Power BI, Python, SQL, ETL, Cloud, AI, Machine Learning, ERP.
Responsibilities
Design and develop robust data pipelines and architectures for real-time reporting; build predictive models for forecasting and inventory optimization; create dashboards and KPI frameworks for end-to-end supply chain visibility; identify and implement automation opportunities to eliminate manual work; collaborate with engineering and business teams to integrate data across enterprise systems; translate complex operational data into actionable insights for planning and execution.
Seniority
Senior, hands-on IC
