Data Scientist

Requisition Number: 71815**The company built on breakthroughs.Join us.**Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.How do we do this? With our people. They break through limitations and...

Date: Nov 7, 2025Location: Reynosa, TAM, MX, 88730Company: CorningRequisition Number: 71815The company built on breakthroughs.Join us.Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.How do we do...

Roles &responsabilities Process, clean, and transform industrial data (time series). Develop predictive and machine learning models for predicting failures and errors in processes and equipment. Projecting future production and performance. Identifying trends, anomalies, and root causes in data. Integrating and analyzing data with tools such as Splunk....

Roles &responsabilities Process, clean, and transform industrial data (time series). Develop predictive and machine learning models for predicting failures and errors in processes and equipment. Projecting future production and performance. Identifying trends, anomalies, and root causes in data. Integrating and analyzing data with tools such as Splunk....

Roles &responsabilities Process, clean, and transform industrial data (time series). Develop predictive and machine learning models for predicting failures and errors in processes and equipment. Projecting future production and performance. Identifying trends, anomalies, and root causes in data. Integrating and analyzing data with tools such as Splunk....

Responsibilities Process, clean, and transform industrial data (time series). Develop predictive and machine learning models for predicting failures and errors in processes and equipment. Project future production and performance. Identify trends, anomalies, and root causes in data. Integrate and analyze data with tools such as Splunk. Deploy scalable...

ResponsibilitiesProcess, clean, and transform industrial data (time series).Develop predictive and machine learning models for predicting failures and errors in processes and equipment.Project future production and performance.Identify trends, anomalies, and root causes in data.Integrate and analyze data with tools such as Splunk.Deploy scalable solutions in...

Provides subject matter expertise in engineering that improves product, process and/or equipment performance (cost, quality and service) and/or advances the innovation process to enable the delivery of new products.Provides solutions for increased process selects, increased material utilization, decreased costs, and improvement to product quality by...

A global electronics manufacturer in Reynosa, Tamaulipas seeks a skilled professional to process, clean, and integrate industrial data. This role involves developing predictive and machine learning models to optimize production and identify trends. Candidates should be proficient in Python and SQL, with experience in cloud environments such as Azure or AWS....

A global electronics manufacturer in Reynosa, Tamaulipas seeks a skilled professional to process, clean, and integrate industrial data. This role involves developing predictive and machine learning models to optimize production and identify trends. Candidates should be proficient in Python and SQL, with experience in cloud environments such as Azure or AWS....

Requisition Number: ***** The company built on breakthroughs.Join us.Corning is one of the world's leading innovators in glass, ceramic, and materials science.From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.How do we do this?With our people.They break through limitations and expectations...

Select how often (in days) to receive an alert: Email jobs to me The company built on breakthroughs.Join us. Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible. How do we do this? With our people....