Data Scientist

The Data Scientist evaluates, develops and manages data analysis applications and customer solutions from IoT and other domains. Interactive visualization and clarification of results are also of fundamental importance.
Further tasks are:
Application of statistics, machine learning and analytical approaches for the development of IoT solutions
Preparation of data and development of algorithms, design of solutions and cooperation with domain experts and data engineers
Proof of Concepts support in highly advanced data analytics environments to demonstrate their feasibility and to develop solutions for (IoT) data-related business requirements
Support the sales colleagues at customer workshops / discussions to specify appropriate approaches, methods, tools and solutions
Design and implement statistical data quality methods for new data sources
You have a university degree, have a doctorate or a master in data science, physics, mathematics, statistics or computer science. In addition, you already have relevant work experience (3-5 years) in the mentioned task environment. Furthermore:
Experience in programming languages, eg Python, Java, R, Scala, Javascript
Software Engineering Know-how in agile methods for all steps (design, architecture, development, test, use)
Experience with data analysis tools for interactive data visualization (eg tableau, visual analytics)
Knowledge in mathematics and statistical methods are required
Advanced skills with (predictive) data analysis tools (eg Knime, Rapidminer, Talend, Tableau, Cassandra, Hadoop, Spark), competencies for the design and administration of Big Data environments (eg Hadoop), evaluation and configuration of components (eg Spark, DB ), Adapt and develop algorithms for customer solutions
Experience in the following application areas: IoT analyzes, time series analysis, social media analyzes, site data analysis, safety data analysis, customer data analysis, signal processing, anomaly detection
Conceptual knowledge of data protection and security questions and solutions in IoT and data analysis, eg privacy by design, anonymisation, privacy assurance in data storage
2-3 years experience in business consulting and technological strategy development in data-driven companies, big data or similar fields
Advanced experience in cloud technologies and architectures (eg Microsoft Azure, Open Telecom Cloud, Big Data Hadoop BareMetal Cloud)
Excellent written and oral communication skills in English and German

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