Analyst, Data Science (Digital Manufacturing)

About GF GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power efficient and high performance solutions for high growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity and sustainability. For more information, visit www.gf.com Introduction This is a key role in supporting the Data Science team by developing analytics solutions that drive manufacturing and business outcomes. This position works closely with the Analytics Center of Excellence (CoE) Manager to support the development, deployment, scaling, and maintenance of data science and AI initiatives while fostering collaboration with internal stakeholders and external technology partners. Your Job Partner with the Analytics Center of Excellence (CoE) Manager to define project objectives, deliverables, and implementation timelines. Support the design, development, deployment, and maintenance of analytics, machine learning, and AI solutions to address manufacturing and business challenges. Collaborate with cross-functional stakeholders to identify opportunities for AI, machine learning, and digital manufacturing initiatives. Collect, cleanse, validate, and preprocess large datasets from multiple sources to support analytics and modeling activities. Perform exploratory data analysis and apply statistical techniques to identify patterns, trends, and actionable insights. Develop, evaluate, and implement predictive models and machine learning algorithms to solve real-world business problems. Translate business requirements into data-driven solutions and support deployment of analytics use cases into production environments. Prepare and present findings, recommendations, and project updates to stakeholders, including Fab leadership, using clear and measurable success criteria. Support continuous improvement of analytics methodologies, tools, and best practices within the Analytics CoE. Required Qualifications: Bachelor's Degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related discipline. Knowledge of data analytics, statistical analysis, and machine learning concepts. Familiarity with data visualization and reporting tools. Strong analytical, problem-solving, and communication skills. Ability to work effectively in a cross-functional and collaborative environment. Preferred Qualifications Internship or project experience in analytics, AI, machine learning, or digital manufacturing. Familiarity with cloud-based analytics platforms and data engineering concepts. Experience working with large manufacturing or operational datasets. GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard. As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities. All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.