Senior Data Scientist - Data Analytics (DIH) (m/w/...

Company:
Location: Berlin

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Aufgabe

  • The Senior Data Scientist evaluates, develops and maintains data analytics applications and customer solutions in IoT and other domains on the technology basis of the Data Intelligence Hub
  • The Senior Data Scientist applies appropriate statistics, machine learning, AI and analytical approaches in the development of IoT solutions
  • Prepares data, adapts and develops algorithms, conceptualizes solutions and cooperates with domain experts and data engineers. Interactive visualizations and explanation of results are of fundamental importance here
  • Support for prototypes and operationalization projects in state-of-the-art data analytics environments to demonstrate feasibility and develop solutions for data-related business requirements
  • The Senior Data Scientist supports sales in customer workshops/discussions to specify appropriated approaches, methods, tools and solutions. Understanding of data-driven requirements is essential!
  • Designs and implements statistical data quality procedures and standards
  • The Senior Data Scientist controls the Data Scientists in the team from a technical point of view

Profil

  • Has a PhD or master’s degree in data science, Physics, Mathematics, Statistics or Computer Science with at least +2 years of professional experience in the field of data & data economy, ideally experience with the Telekom Data Intelligence Hub
  • +5 years intensive practical working experience as Data Scientist for at least two relevant industries
  • Experience working in an agile environment, e.g., SCRUM
  • Expert level in (functional) programming languages, e.g., Python, java, R, Scala, Javascript
  • Software engineering Know-How s in agile methods for all steps (design, architecture, coding, test, deployment) advantageous
  • Professional Knowledge in two of the following methods are desirable: clustering, classification, modeling, regression, text analysis, pattern recognition, neuronal networks. Understanding of machine learning principles and methods
  • Professional Knowledge in mathematics and statistical methods and tools is required (e.g., R, Pandas, Scikit-Learn, Numpy/Scipy, Matplotlib, Jupyter, Anaconda, Tensorflow/Pytorch).
  • Expert level competence in usage of the following advanced analytic tools (e.g., Knime, Rapidminer, Tableau)
  • Intensive experience in two of the following application areas are required: IoT analytics, time series analytics, social media analytics, location data analytics, security data analytics, customer data analytics, signal processing, anomaly detection
  • Advanced knowledge of privacy and security challenges and solutions, e.g., privacy by design, anonymization, privacy preserving storage
  • Experience in business consulting or technology strategy development in data-driven business, big data or similar fields advantageous
  • Strong experiences with Cloud-Technologies and Architectures (e.g., Microsoft Azure, Open Telekom Cloud, Big Data Hadoop) would be an advantage


Multinational corporations and public institutions are our customers. We get business and society ready for the gigabit society. All over the world. With a global infrastructure of data centers, networks and integrated solutions. Are you ready for the networked future? Then show us your innovative strength.


Your department

This position is filled in the Data Intelligence BU in the Digital Solutions portfolio unit of T-Systems International GmbH. The Data Economy chapter (Data Intelligence Hub) focuses on the development of the Telekom Data Intelligence Hub (DIH). We use the full range of data sources, from IoT to social media, to create sustainable innovation/value from the use of data and AI building blocks. Our solutions are both the memory and the brain of digitization. We use state-of-the-art open-source technologies and reference architectures from the IDS and GAIA-X environment. Always with the goal of bringing our customers' digitization strategies to success in the context of data spaces. As Germany's largest digital service provider, we shape the digital world together with our customers in a constantly growing market.

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