Detalles de la oferta

Our client IT team is growing, and they are looking forward to meeting talented employees. With highly skilled engineers and experts, our client is committed to continue developing the culture of creativity and agility, foster innovations, and be an international tech center!This Team is working around several directions:Modeling customer individual network perception by implementing initial data models representing e.G., mobile inventory, performance, and usage data. Generate new insights by understanding detractor and promoter data patterns. Push positive network perception.Drive quality improvements through cross-functional use case development. Provide technology data products based on OSS- and live network components, e.G., performance, event, and line configuration data. Support centrally Fault 2 repair process.Push data-driven e2e use cases for fiber business, powered by a consolidated data foundation as a single point of truth, in order to enable a collaborative, cross-functional fiber steering.As a data scientist, you are part mathematician, part computer scientist, and you rule the world of big data. You will both do classical data analytics as well as create machine learning models for explaining and predicting home network events. You will cooperate closely with our business colleagues to derive actions based on your analytics to increase our home network CX.Required Skills and experience:CDSW (Cloudera Data Science Workbench)JiraHueKnimeODLODESQLPythonPandasPython SparkEnglish level B2Willingness to work in an agile environment.What is offered:International, positive, dynamic, friendly, and motivated work environment.Flexible working schedule, hybrid.Excellent opportunities for professional and personal development.Flexible Compensation Plan.Life and accident insurance.Modern office in the city centre.If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English.#J-18808-Ljbffr


Salario Nominal: A convenir

Fuente: Jobtome_Ppc

Requisitos

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