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 .

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 cloudbased solutions, including productionizing recommendation engines.

• Ability to implement businessfocused advanced analytics that address industryspecific challenges.

• Strong communication skills and proven leadership in guiding crossfunctional teams.

• Demonstrated product mindset with experience working in Agile environments.

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