Experience: 6 years

Job Description:

• Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, visualization, etc. to discover insightful patterns in the dataset
• Work on projects and develop solutions that would be of high impact in various areas such as Procurement, Supply Chain, Fabrication plant, Assembly and Test etc
• Work closely with IT and Supplier on data management, taking an idea, access and prepare necessary data, work with data scientists to create machine learning models, develop it to an application with intuitive user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins, etc.
• Developing new or enhancing prior data acquisition and ETL pipelines from various sources into big data ecosystem.
• Build and maintain data/solution pipelines that feed machine learning models
• Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
• Build custom software components and analytics applications
• Create/Maintain CI/CD pipelines of machine leaning models
• Developing responsive design web interface for result visualization and user interaction
• Working with various scientific data such as equipment sensor data and logs, image and various types of signals, manufacturing process data, etc. to extract meaningful information for analytics
• Creating intuitive user interface for interactive data visualization to explain insights from data