Factory Data Scientist: Insights & Optimization

Corning Incorporated; Reynosa; Vor Ort; MXN 300.000 - 420.000; Vollzeit

Benefits dieser Stelle

Great benefits above law

Global collaborative environment

Professional development and learning

Exposure to manufacturing analytics

Zusammenfassung

Corning Incorporated in Reynosa, Tamaulipas invites a Data Analyst to partner with engineering and manufacturing teams, analyzing process and quality data to drive improvements using SQL, Python, statistics, and visualization tools.

You will develop dashboards and reports to translate complex datasets into actionable insights, supporting data-driven decisions. This position requires onsite work in Reynosa, Tamaulipas.

Qualifikationen

• Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Industrial Engineering, or related technical field.
• 3+ years of relevant data analytics experience.
• Strong knowledge of statistics and data interpretation.
• Proficiency in SQL and Python for data analysis; ability to extract and communicate insights.
• Advanced English communication and onsite work in Reynosa, Tamaulipas.

Aufgaben

• Analyze manufacturing, process, and quality data to identify trends and opportunities.
• Apply statistical methods such as hypothesis testing, SPC, process capability, and DOE.
• Use SQL and Python to extract, prepare, analyze, and visualize data.
• Develop dashboards, reports, and visualizations for data-driven decisions.

Kenntnisse

SQL

Python

Statistics

Data visualization

English communication

Analytical thinking

Ausbildung

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

Tools

Visualization tools

Jobbeschreibung

Corning Incorporated in Reynosa, Tamaulipas invites a Data Analyst to partner with engineering and manufacturing teams, analyzing process and quality data to drive improvements using SQL, Python, statistics, and visualization tools.

You will develop dashboards and reports to translate complex datasets into actionable insights, supporting data-driven decisions. This position requires onsite work in Reynosa, Tamaulipas.