Principal Smart Manufacturing Data Scientist
Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applications and expertise. Agilent enables customers to gain the answers and insights they seek - so they can do what they do best: improve the world around us. Information about Agilent is available at www.agilent.com.
The Principal Manufacturing Analyst/Data Scientist will be located at Singapore and will report to the Global Instrument Manufacturing Vice President & General Manager. As the Data Analyst for the Global Instrument Manufacturing Operation, he/she will be a key member of the Automation & Intelligent Manufacturing (A.I.M) and Global Planning Initiative (G.P.I). He/she will be responsible to develop and execute a comprehensive plan to enable the global factories to unlock value by through insights derived from the analysis of production, test, quality and delivery data from a multitude of database sources. He/she will be deployed to work with on a wide range of Smart Factory projects to improve forecasting accuracy, customer satisfaction, yield or end to end manufacturing efficiency.
Responsible for designing and implementing processes and solutions associated with complex, large-scale data sets used for data/text mining, analysis, modeling and predicting to enable informed business decisions. Gains insights into key business problems by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. Collaborates across departments and businesses to understand the business problem and define requirements. Uses advanced mathematical, statistical, querying and reporting methods to arrive at deep-level understanding of the problem at hand. Develops information tools, algorithms, dashboards and queries to monitor and improve business performance. Creates solutions from initial concept to fully tested production, and communicates results to a broad range of audiences. Effectively uses current and emerging technologies such as R, Python, C#, Java, SQL and NoSQL.
Key position responsibilities: