Manufacturing Data Scientist: Insight-Driven Process

Corning; Reynosa; On-site; MXN 350,000 - 500,000; Full time

Benefits offered by this job

Great benefits

Collaborative environment

Professional development

Global teams

Job summary

Corning is seeking a Data Analyst to partner with engineering and manufacturing teams to analyze process and quality data, identify opportunities for improvement, and support data-driven decision-making using statistics, SQL, Python, and visualization tools. The role emphasizes problem solving in a manufacturing environment and collaboration with technical stakeholders onsite in Reynosa.

The position requires a Bachelor's degree in a related technical field and approximately 3+ years of

Qualifications

• 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.

Responsibilities

• 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.

Skills

Statistics

SQL

Python

Data visualization

Education

Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Industrial Engineering, or a related technical field

Job description

Corning is seeking a Data Analyst to partner with engineering and manufacturing teams to analyze process and quality data, identify opportunities for improvement, and support data-driven decision-making using statistics, SQL, Python, and visualization tools. The role emphasizes problem solving in a manufacturing environment and collaboration with technical stakeholders onsite in Reynosa.

The position requires a Bachelor's degree in a related technical field and approximately 3+ years of