Data Engineer

Key Responsibilities:

1. Work in a multi-disciplinary team and closely collaborates with AMEC internal customers to clearly understand their data analytics challenges and specifications;

2. Collaborate with the CFD and control engineers to provide data science support for continuous product improvements and new functions development, e.g., learning-based advanced process control (APC), fault detection and classification (FDC), and data-driven CFD modeling;

3. Be quite self-motivated and customer-focused to solve AMEC practical problems with both big-data and small-data using various tools that are available and effective in data science;

4. Design and evaluate novel approaches, and investigate any potential data analytics applications in AMEC.

Key Requirements:

1. Master or doctorate in Applied Mathematics, Automatic Control, Computer Engineering, Electronics Engineering, or other quantitative fields;

2. Experiences in design and implementation of robust and scalable models based on suitable machine learning, data mining, and statistics algorithm;

3. Familiar with ANN, PCA, SVD, SVM, k-means clustering, and so on;

4. Proficiency in MatLab, Python, and other data analytics software;

5. Excellent oral and written communication skills, and publications in data sciences conferences or journals are big plus.