Join GlobalFoundries as a Senior Data Scientist

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry offering a unique combination of design, development, and fabrication services to innovative technology companies worldwide. With manufacturing facilities across three continents, we enable technologies that transform industries and empower our clients to shape their markets. Learn more at .

Role: Senior Data Scientist

Introduction

As a Senior Data Scientist at GlobalFoundries, you will report to the Lead Data Scientist and play a vital role in the Data Science team. Your responsibilities will include supporting the development of best practices for analytics use cases, collaborating with AI partners, and developing machine learning models to address complex challenges. You will also contribute to building scalable data products, fostering collaboration across the organization, and ensuring the deployment of high-impact data solutions.

Your Responsibilities

• Work closely with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions.
• Collaborate with GFIT and the Manufacturing Data Domain group to support data pipeline development for scalable analytics solutions.
• Conduct exploratory data analysis and create compelling visualizations using complex datasets.
• Identify and train suitable machine learning models, including hyperparameter tuning, to ensure optimal performance.
• Deploy models into production with the assistance of Product Engineers.
• Validate and monitor model performance to prevent degradation.
• Assist in building technical and analytics capabilities within the team, staying current on best practices and techniques.
• Communicate the value of analytics to Fab leadership and business partners to maximize their impact.
• Facilitate the generation and maximization of value from analytics solutions.

Other Responsibilities

Perform all activities safely and responsibly while supporting Environmental, Health, Safety & Security requirements and programs.

Required Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree).
• Minimum of 7 years of experience in the analytics space with a proven track record of innovation.
• Experience with data science techniques including Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning.
• Proficiency in business modeling environments such as R, Python, SAS, SPSS, or STATA.
• Experience in optimization and cloud environments for scaling and productionisation of recommendation engines.
• Ability to implement advanced business-focused analyses that capture industry-specific nuances.
• Strong communication skills for interactions with both technical and non-technical audiences.
• Proven leadership skills for coaching and guiding team members.
• Experience with Agile teams and a product-focused mindset.
• Ability to build trust and rapport within the team and with senior leadership.
• Flexibility to work with ambiguous problems and unstructured data, and a strong bias towards action.

Preferred Qualifications

• Master’s degree in data science or a related field.

Equal Opportunity Employer

GlobalFoundries is an equal opportunity employer, committed to a diverse and inclusive workforce. We believe that a multicultural workplace enhances productivity, efficiency, and innovation, while ensuring that all employees feel respected, valued, and heard. Qualified applicants are considered for employment without regard to age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation, and medical and/or physical abilities.

All employment offers at GlobalFoundries are conditioned upon the successful completion of background checks and medical screenings, as applicable and subject to local laws and regulations.

For more information on our benefits, visit: .