Siemens Technology Applied Research for Industrial Data Analytics & AI

Job Description


Research on state-of-the-art data analytics & AI technologies, esp. for industrial area

Develop innovative, efficient, and effective optimization methods according to requirements from different industries

Transformation of data models & algorithms to integrated, consumer-oriented solutions

Hands-on model / algorithm evaluation and selection

Basic Qualifications

Master’s degree or above in Mathematics, Statistics, Computer Science, or equivalent

Extensive hands-on experience on mathematical optimization (like mixed-integer linear programming, nonlinear programming, stochastic programming, etc.) and machine learning or data mining

2+ years research or development experience related to data analytics and optimization applications with programming languages such as Python, R, Java, etc.

Knowledge on applications of optimization methods

Self-motivated, good communication skills and good team player

Preferred Qualifications

Doctorate degree in Mathematics, Statistics, Computer Science, or equivalent

Demonstrated proficiency in at least 1 of the listed: Python, Java

Project experience on mathematical optimization methods combined with machine learning algorithms

Excellent presentation skills

 Ability to handle multiple competing priorities in a fast-paced environment


Fluent in English (speaking, reading and writing).

Organization: Technology

Company: Siemens Ltd., China

Experience Level: Experienced Professional

Job Type: Full-time

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