About the role
AI summarisedData Scientist at GlobalFoundries supporting the development, deployment, and scaling of predictive and prescriptive analytics solutions to optimize semiconductor fab operations and manufacturing processes.
FoundryOnsite
Key Responsibilities
- Work closely with Lead Data Scientists and business customers to translate needs into predictive and prescriptive analytics solutions
- Collaborate with GFIT and Manufacturing Data Domain groups to build data pipelines for productionalized analytics solutions
- Conduct exploratory data analysis and create compelling visualizations using complex and high-dimensional datasets
- Identify suitable machine learning or statistical approaches and train models for optimal performance
- Deploy models into production with assistance from Product Engineers
- Validate and monitor models to ensure consistent performance and avoid performance degradation
- Communicate the value of analytics to Fab leadership and business partners to increase awareness
- Assist the Lead Data Scientist in fostering partnerships with AI vendors and start-ups
Requirements
- Bachelor’s degree in quantitative fields such as Statistics, Mathematics, Computer Science, Engineering, or Data Science
- Minimum of 4 years of experience in the analytics space with a track record of innovation
- Experience with data science techniques including Forecasting, Recommendation Systems, Logistics Optimization, and Deep Learning
- Proficiency in creating business models in environments such as R, Python, SAS, SPSS, or STATA
- Experience in optimization and cloud environments for scaling and productionisation of recommendation engines
- Significant experience working in Agile teams with a product-focused mindset
- Strong communication skills to interact with both technical and non-technical audiences
- Flexibility and ability to work with ambiguous problems and unstructured data