Senior Data Scientist

About GlobalFoundries 

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com. 

Introduction

As a Data Scientist, you will report to the Lead Data Scientist and play a key role in delivering analytics and technical solutions. Responsibilities include supporting best practices across the full lifecycle of data science projects—from development and deployment to scaling and maintenance.

You will also assist in building partnerships with AI vendors and start-ups, and contribute to developing and deploying machine learning and statistical models to address complex operational challenges, and contributing to the creation of scalable data products.

Responsibilities

• Work closely with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions. 

• Collaborate closely with GFIT, Manufacturing Data Domain group to support Lead Data Scientist in building the required data pipelines for productionalized and scalable predictive and prescriptive analytics solutions. 

• Support Lead Data Scientist to conduct exploratory data analysis and create compelling visualization using complex and high-dimensional datasets. 

• Help Lead Data Scientist to identify suitable machine learning or statistical approaches on type of problem and train models for optimal performance, including hyperparameter tuning. 

• Contribute to deploy models into production with assistance from Product Engineers. 

• Help Lead Data Scientist to validate and monitor models to ensure consistent performance and avoid performance degradation. 

• Support Lead Data Scientist during technical and analytics capability building within the analytics teams to stay current on best practices and new model techniques. 

• Communicate value of analytics to Fab leadership and business partners and increase the awareness of analytics Fabs. 

• Facilitate generating and maximizing value from analytics solutions. 

Required Qualifications

• Bachelor’s degree in quantitative fields such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree. 

• A minimum of 4 Years of experience in analytics space with proven track record of innovation as a forerunner. 

• Experience with key data science techniques, including forecasting, recommendation systems, logistics optimization, churn and segmentation analysis, and deep learning.

• Proficiency in R, Python, SAS, SPSS, or STATA, with strong data visualization capabilities.

• Experience building and scaling optimization and cloud‑based solutions, including productionizing recommendation engines.

• Ability to implement business‑focused advanced analytics that address industry‑specific challenges.

• Strong communication skills and proven leadership in guiding cross‑functional teams.

• Demonstrated product mindset with experience working in Agile environments.

• Ability to build trust with stakeholders and work effectively in ambiguous, unstructured problem spaces.

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.