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Corning

Data Scientist

Corning Reynosa, Tamaulipas, Mexico

Glass, Ceramics and Concrete Manufacturing · 10,001+ employees

Sep 05
data-analyst Mid (2-5 yrs) Full-time Mexico
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About the role

The Data Analytics Engineer will partner with process engineering teams to apply statistical analysis and data visualization to manufacturing challenges. The role involves developing dashboards, cleaning datasets, and leveraging machine learning to drive operational improvements and process control.

What they look for

Statistical analysis Data visualization SQL Python Manufacturing execution systems Data engineering Machine learning AI Process improvement Dashboard development Statistical process control Data cleaning Analytical problem solving Communication Coaching Cross-functional collaboration

Requirements

Candidates must hold a bachelor's degree in a technical discipline and possess at least 3 years of relevant experience in data or manufacturing analytics. Strong proficiency in SQL, Python, and statistical methods is required, along with the ability to communicate complex findings to diverse stakeholders.

Full description

Are you passionate about turning data into actionable insights and helping manufacturing teams make better decisions?

Join a global organization where your expertise in statistics, analytics, and data visualization can directly contribute to improving manufacturing processes and performance.

What is your role?

As a Data Analyst, you will partner closely with engineering and manufacturing teams to analyze process and quality data, identify opportunities for improvement, and support data-driven decision-making. You will use statistical analysis, SQL, Python, and visualization tools to understand process performance and translate complex datasets into clear, actionable insights. This role is ideal for someone who enjoys solving problems independently and working directly with technical stakeholders in a manufacturing environment.

Major responsibilities and tasks of the position:

  • Analyze manufacturing, process, and quality data to identify trends, variation, performance issues, and improvement opportunities.
  • Apply statistical methods such as hypothesis testing, Statistical Process Control (SPC), process capability analysis, and Design of Experiments (DOE).
  • Use SQL and Python to extract, prepare, analyze, and visualize data from multiple sources.
  • Develop dashboards, reports, and visualizations that help engineering and manufacturing teams make data-driven decisions.\

What do you need to have?

  • Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Industrial Engineering, or a related technical field.
  • Approximately 3+ years of relevant experience in data analytics, statistical analysis, process analytics, or a related field.Strong knowledge of statistics and demonstrated ability to analyze and interpret datasets.
  • Strong experience with SQL and/or Python for data analysis.Ability to independently investigate data, identify meaningful insights, and communicate recommendations to stakeholders.
  • Strong attention to detail, analytical thinking, and problem-solving skills.
  • advanced English communication skills and availability to work onsite in Reynosa, Tamaulipas.

What we offer?

  • Great benefits above law.
  • A collaborative and global working environment.
  • Opportunities for professional development and continuous learning.
  • Exposure to manufacturing analytics, advanced data technologies, and global teams.
  • Opportunity to contribute directly to process improvement and data-driven transformation.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment.

To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com

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