Analyst Digital Mfg Data Science
Job Summary
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. GFs talented global team remains focused every day on security longevity and sustainability. For more information visit
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:
- Bachelors 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.
Information about our benefits you can find here: Experience:
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About Company
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