Senior Data Scientist

What You'll Do

• 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.
• 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: https://gf.com/about-us/careers/opportunities-asia