Summary: This role involves transforming raw data into actionable insights using analytical tools, statistical models, and machine learning, collaborating with global teams to solve real-world problems and optimize workflows. Highlights: 1. Leverage analytical tools, statistical models, and machine learning techniques 2. Collaborate with global cross-functional teams to solve real-world problems 3. Stay updated with emerging technologies and methodologies in data science **Date:** Feb 16, 2026 **Location:** Obispado, NLE, MX, 64060 **Company:** Corning In this role, you will contribute to transforming raw data into actionable insights by leveraging analytical tools, statistical models, and machine learning techniques. You will collaborate with global cross\-functional teams to solve real\-world problems, optimize workflows, and support business decisions. You will work with a feasibility development team to assess and develop capabilities that are suitable for operational deployment. **Key Responsibilities:** * Gather, clean, and preprocess data from various sources, ensuring quality and usability for analysis or modeling. * Perform statistical analysis and generate visualizations to uncover trends, patterns, and actionable insights in datasets. * Design, implement, and evaluate machine learning models to solve business challenges, optimizing for accuracy and efficiency. * Build dashboards, charts, and reports using visualization tools to clearly communicate findings to technical and non\-technical stakeholders. * Assist with designing and maintaining data pipelines, writing efficient code and SQL queries to process and store data effectively. * Work closely with global cross\-functional teams, present insights, and contribute to discussions that shape project outcomes. * Stay updated with emerging technologies and methodologies in data science and actively seek opportunities to refine skills and knowledge. * Document processes, training, methodologies, and findings, and present results to both technical and non\-technical stakeholders globally. * Collaborate with other team members to develop and implement digital projects and initiatives for manufacturing and industrial sectors. **Qualifications:** * Bachelor’s degree in computer science, Data Science, Mathematics, Statistics, Engineering, or a related field. Basic programming skills in languages such as Python, R, or Java. Understanding of foundational machine learning concepts, algorithms, and workflows. * Proficiency in data preprocessing, feature engineering, and exploratory data analysis (e.g Databricks). * Experience with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying and scaling machine learning models. Familiarity with data visualization tools and techniques. * Strong problem\-solving skills and the ability to work independently as well as in a global team. * Excellent communication skills, with the ability to explain complex technical concepts to non\-technical stakeholders. * Proficiency in English, both written and verbal, to effectively communicate with global teams and stakeholders. **Additional Qualifications:** * Experience with Industry 4\.0 technologies and applications, such as IoT, AI robotics, and automation. Knowledge of version control tools like Git for collaborative coding projects. * Knowledge of big data technologies such as Hadoop, Spark, or Kafka. * Contributions to open\-source projects or published research in the field of AI/ML, data science, and Industry 4\.0\.