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Big Data Team Leader

MunichOn-site

AI Summary

Leads a local data science team on cross-industry digitalization projects, advising clients and developing data analytics solutions in areas such as IoT, big data, and augmented reality.

About this role

Big Data Team Leader

Our client acts as a strategic partner for the industry and offers cross-sector solutions in the digital-driven domains like IoT, Big Data & Analytics, Augmented Reality and Advanced Manufacturing.

MUST BE GERMAN SPEAKING

LOCATION - MUNICH, GERMANY

OUR OFFER

• Cross industry end-to-end projects in the aviation, automotive and many more industries like Energy and Life Sciences

• Exciting tasks along the questions of digital transformation, with the latest technology at the big OEM

• Managing and leading the local data scientist team in collaboration with our World Class Center (WCC) Analytics & IoT

YOUR TASKS

• Advise our clients cross industry in the different steps towards digitalisation

• Develop and implement data analytics solutions

• Participation in creativity workshops, delivering new algorithms, applications and solutions within the appropriate infrastructure

• Use of both commonly used technologies as well as architecture and infrastructure of big data

• Advise and define adequate technology stacks for our clients

• Participation in transnational data analytics topics, campaigns and strategy summits

YOUR PROFILE

• Master degree or similar in Mathematics, Physics Informatics, Biosciences

• At least 5 years of professional experience and at least 3 years in data analytics domain

• Good organizational, cross-departmental and project management skills.

• Ability to advise and interact with all levels of client management and staff, including CIOs, CTOs, CDO’s and Chief Architects

• Strong industry insight in one of the industries is a plus (Aerospace, Automotive, Energy, Life Sciences)

•• Excellent command of the German and English language

Skills

Data AnalyticsDigital TransformationHadoopPowerBIPythonRSparkSQLTableau

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