Sr. Data Analytics Engineer

Key Skills

Analytical and Problem solving, Data Analysis, Data Analytics, Data Visualization, Effective communication skills, Machine learning techniques, PowerBI, Tableau

Job Description

Corning is vital to progress – in the industries we help shape and in the world we share.

We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.

Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers. 

Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses.

We anticipate & provide timely, valued, leading-edge manufacturing technologies and engineering expertise. We partner with Corning’s businesses and the Science & Technology division. Together we create and sustain Corning’s manufacturing as a differential advantage.

Day-to-Day Responsibilities:

• Attend and manage business solution projects.
• Design and develop data analytics training curriculums to popularize basic data analysis capabilities.
• Define, design and implement appropriate solutions and options (ie. statistics methods or machine learning techniques) to perform exploratory and targeted data analysis. Apply the findings to quality, process, measurement and control solutions.
• Act as an expert in data analytics field to close communicate with team members to make sure the solution is properly integrated with other business solution if necessary.
• Evaluate and demonstrate quantifiable impact on the raw materials, finished product, manufacturing process and manufacturing supporting systems using data analytics and data visualization tools (e.g. Tableau, Power BI … etc)
• Write technical reports summarizing development, validation and application of the technical analysis.
• Share and contribute Corning’s data analytics community of practice in developing the capabilities and promoting areas of applications.

Requirement:

• Minimum MS Degree (PhD preferred) in applied mathematics, statistics, computer science or a comparable field of study with specialization in data analytics & machine learning.
• 4-7 years of work experience in similar field, statistical analysis, analytical algorithms development or modeling experience.
• Experienced in manufacturing quality control, process and lab measurement.