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)
The Siemens Data Analyst will 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
Qualifications, Skills and Experience:
The applicant for the Siemens Data Analyst job should preferably 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.
Excellent English skills. Arabic language skills would be an advantage
Siemens is a global powerhouse focusing on the areas of electrification, automation and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis. In infrastructure and industry solutions the company plays a pioneering role.