成都半导体外企内推，需求应届硕士及毕业一年内的

JD:

This role is an exciting opportunity to apply AI/Bigdata technology to translate manufacturing data into meaningful insights to help solve factory yield/process engineering problems. In this position, you are expected to deliver data analytics tools/algorithms/methodologies for engineers in different areas in Manufacturing

Qualifications:

• Candidates need to hold at least a Master degree in Statistics, Machine learning, Computer Science or relevant disciplines. • Experience using data analysis techniques like predictive modelling, pattern recognition/machine learning algorithms, clustering, dimensionality reduction, anomaly detection, time series analysis etc.. • Must have at least one data programming language/scripting experience (e.g. Python, R, JMP, etc.) and familiar with most commonly used packages, numpy/pandas/Scikit-learn/Tensorflow/Pytorch etc. • Must be a team worker with excellent communication, presentation, and time management skills. • Excellent technical problem solving and analysis skills, ability to quickly digest complex problems • Experience with SQL, Hadoop, Spark is a plus • Experience in semiconductor industry is a plus • Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment • Excellent problem-solving and interpersonal communication skills

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