Supply Chain Advanced Analytics Data Scientist
Core
Translate complex data into actionable supply chain insights and lead the development of analytical models to enable data-driven decision-making across the end-to-end supply chain.
Role type
Senior Supply Chain Advanced Analytics Data Scientist
Builds
Scalable metrics, KPIs, statistical models, and data-driven strategies for supply chain optimization.
Domain
Consumer Goods / Supply Chain Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced analytics, data visualization, SQL, Snowflake, HANA VDMs, Power BI, Celonis, statistical modeling, process mapping, use case identification, strategic problem-solving, cross-functional collaboration.
Preferred skills
R, Python, machine learning algorithms, relational database design, mentoring data analysts.
Technologies
Power BI, Celonis, SQL, Snowflake, HANA VDMs, Excel, SAP/S4, Power Platform.
Responsibilities
Leverage advanced analytics and visualization tools to translate complex data into actionable supply chain insights; Lead the development and deployment of analytical models to enable data-driven decision making; Analyze large datasets to identify optimization opportunities and develop scalable metrics, KPIs, and statistical models; Partner cross-functionally to build a robust data foundation; Lead end-to-end initiatives including process mapping, use case identification, and project execution.
Seniority
Senior, hands-on IC with leadership responsibilities
