Data Engineer, Metadata Operations, Americas
As a Data Engineer on the Metadata Team, you will be responsible for leading the use of data to make decisions and automation to drive automation. This includes: The development and execution of new machine learning predictive modeling algorithms, the coding\development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling.
Uses best practices, with limited coaching, to develop statistical, machine learning techniques to build models that address business needs
Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept
Uses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop)
Collaborates with the team toimprove the effectiveness of business decisions through the use of data and machine learning/predictive modeling
Innovates on projects by using new modeling techniques or tools
Contributes on a wide variety of projects
Executes on modeling/machine learning projects effectively
Communicates findings to team and leadership ensure models are well understood and incorporated into business processes
Works with leaders to ensure the project will meet their needs
Maximizes personal professional development to ensure continuation of a personal contribution to the team
Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
Experience with Python, Java, SQL or R.
Experience with Machine Learning algorithms.
Experience with SQL Server
Experience in Big Data, Apache Spark, Apache Beam, Flink or graphical visualization a plus.