Bachelors or masters degree in a quan ta ve field such as engineering mathema cs science
35 years of experience in data engineering ETL data integra on etc.
Strong understanding of mul ple sta s cal and quan ta ve models and techniques such as but not limited to Predic ve Analy cs Machine Learning Ar ficial Intelligence Linear Models and Op miza on Clustering and Decision Tree.
A strong understanding and experience with analy cs tools such as Tableau Microso PowerBI for repor ng and visualiza on Snowflake for data Storage data modeling ETL and data movement tools such at Ma llion IICS Python R or SQL.
Experience applying data science to solve problems in at least one of the following domains /fields (mul ple areas will be preferred): Marke ng Manufacturing Pricing Logis cs Sourcing Sales.
Flexible and enthusias c to go beyond the given instruc ons to create business value. Strong skills with Microso Office so ware including Word Excel Access PowerPoint and Outlook Excep onal verbal and wri en communica on skills English
Selfmo vated and able to work independently as well as collabora vely in team environments.