Siemens Data Analyst
Shanghai, 中华人民共和国 IT development
Job description
Shanghai, China
· Strategy
· 103965
Digital Industries
Share This Job
·
·
·
·
Job Description
Main Responsibilities:
·
You solve business problems with machine learning methods, signal processing, optimization methods and relevant techniques and create data analytics solutions based on business requirements
·
You design and implement robust data driven algorithms on a massively parallel platform (i.e. Hadoop, HBase, MapReduce, AWS)
·
You combine signal processing, machine learning and knowledge based methods in order to realize i.e. anomaly detection, fault classification, diagnosis and prognosis
·
In an agile process you closely work together with software engineers and domain experts in order to develop data analytics solutions for process industry and power generation
Requirements:
·
You hold a degree (Bachelor, Master or PhD) in computer science, (applied) mathematics, physics or engineering (ideally with a focus on machine learning)
·
You have several years of professional experience in the field of data science, machine learning or statistics
·
You have extensive knowledge in data mining processes, signal processing, image processing, time series analysis or related fields
·
You have experience in one or more of the following data analytics frameworks or libraries and programming (i.e. KNIME, Python, R, Anaconda, Scikit-Learn, Tensorflow, Java)
·
Ideally, you have first experience with massively parallel processing i.e. Hadoop, Spark, Pig, Hive, AWS etc.
·
You are proficient in English; German language skills would be an advantage
Job ID: 103965
Organization: Digital Industries
Experience Level: Mid-level Professional
Job Type: Full-time
Apply
Share This Job
·
·
·
·
Can't find what you are looking for?
Let's stay connected
Can't find what you are looking for?
Siemens Careers
Contact Us
© Siemens AG, 1996 – 2019
Terms Privacy Policy Cookie Policy
Cookies are used on this site to assist in continually improving the candidate experience and all the interaction data we store of our visitors is anonymous. Learn more about your rights on ourPrivacy Policy page.
Okay x