Siemens DF FA Data Processing Expert for Edge & Artificial Intelligence (AI) 西门子（中国）AI工业数据分析专家
In this position as Data Processing Expert, you are responsible for developing computational models & algorithms regarding to data analytics requirement from different industries, and supporting the successful delivery of proofs-of-concept and pilot project to customer in the future automation field of industrial edge and artificial intelligence.
As part of a new agile & innovative team, you are required to work close to team members and other colleagues to proactively ensure the goals of team are achieved
Thereby, close collaboration with the business units of Siemens Digital Industries is required.
Apply our innovative technologies to real-world problems and develop innovative data analytics computational models & algorithms to solve real world problems.
Working with agile team members (e.g. project managers, developer, experts) on fast prototyping, feasibility studies, evaluation of novel technologies.
Required Knowledge/Skills, Education, and Experience
Experience with mathematics and data statistics or equivalent
Experience with data mining / machine learning algorithms
Experience with using statistical software (e.g. Matlab, R, etc.)
Experience with data analytics platforms / tools, like MapReduce, Storm, Mahout, Impala, etc.
Experience with programming language (e.g. C++/Python)
Ability to communicate complex technical problems in English and Chinese
Ability to work close to team on a new topic and find innovative solutions
Real world problem solving and a hands-on, can-do mentality.
Preferred Knowledge/Skills, Education, and Experience
Major in Computer Science, Computer Engineering, Automation, Electrical Engineering, Mathematics or Physics
Knowledge with Computer Vision or Image Processing
Basic understanding of Industrial Edge knowledge
Basic understanding of SIMATIC product portfolio, automation concepts.
Beijing / Shanghai / TBD
Job ID: 93128
Organisation: Digital Factory
Experience Level: Early Professional
Job Type: Full-time