- to work independently
- take over responsibility
- Solution oriented
- analytical thinking
- Enjoying collaborating internationally and across cultural borders, willing to undertake international business travel
- Fluent in English, German is a plus
- Ph.D. or master degree in Computer Science, Mathematics, or related technical discipline
- Minimum 3 years working experience as a data scientist
- Extensive knowledge in statistics, machine learning, time series analysis and data mining
- Minimum 2 years track record of implementing advanced data analytics in Python with dataframes and SQL. PySpark is considered as a plus
- Indeally familiar working on cloud platforms (AWS or Azure)
- Used to work with Git, Jira, Confluence in agile scrum teams
Ihre Aufgaben
- Process and analyze huge set of time series data for time series predictions, condition monitoring, state change detection on Hadoop clusters.
- Implement batch data ingesting methods including cleaning and pre-processing.
- Program advanced analytical functions using machine learning in Python, pySpark, Spark and SQL.
- Develop new advanced algorithms for clustering time series, time series prediction, event detection, outlier detection.
- Communicate and visualise the results effectively.
Kontakt
CEGEKA Deutschland GmbH
Peter Gumber
Putzbrunner Str. 71
81739 München
Tel. +49 89 748 33 962
Fax +49 89 748 33-920
peter.gumber@cegeka.de
