50%
Development comprehensive demand forecast baseline by Machine Learning
-Data cleansing & feature engineering for demand data preparation.
-Generate rolling 18 months demand forecast baseline at SKU level.
-Support regional Planning COE team and IT team to build the machine learning capability.
-Continuously collaborate with regional planning COE team to improve machine learning with enhanced models to incorporate new business situation, multiple external and internal factors to deliver better forecast
25 %
Lead the collection, analysis, and interpretation of supply chain data to uncover insights that inform business strategy and cost &service effectiveness
-Build demand planning analytics output with analytics tools like macro,Python to support calculation or automation in big scale on supply chain segmentation, car pull calculation, forecast accuracy measures etc.
-Provide data visualization by leveraging tools like Tableau to drive business analysis
25%
Standardization on data collection with process re-engineering
-Support demand planning manager to design the standard ABP collection format and process to be able to easily aggregate to national SKU forecast
-Collaborate with multi-functions in supply chain to re-engineer the business process for comprehensive data collection
-Support the simplification and standardization of demand relevant data collection
- Work with regional process solutions and IT team to build supply chain data lake in solutions like Snowflake and cloud based technology solutions, build views and calculation templates for data extraction and analysis
Goodyear是世界上最大的轮胎公司之一。它雇佣了大约68,000名员工，并在全球19个国家的51个工厂生产其产品。其位于美国俄亥俄州阿克伦和卢森堡科尔马—贝尔格的两座创新中心，致力于开发业界领先的产品与服务，树立行业技术与性能的新标杆。
Goodyear是一家提供平等就业机会的雇主。所有合格的申请人都将获得录用考虑，无论其是否具有受法律保护的特征。
