Data Scientist

Corning; Reynosa; Presencial; MXN 350 000 - 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Great benefits

Collaborative environment

Professional development

Global teams

Resumo da oferta

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

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Statistics

SQL

Python

Data visualization

Formação académica

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

Descrição da oferta de emprego

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 [e-mail]