Senior Expert Data Scientist (m/f/d)

Key Skills

Aartificial intelligence, Agile methodologies, API, Data Analytics, Data Mining, Data science techniques, Effective communication skills, German Language, Management, Python Programming, R Programming, SAS, SPSS Statistics, TensorFlow

Job Description

The Vodafone Tech Innovation Center Dresden is Vodafone’s new global center for innovation and co-creation with other top tech world-wide companies, universities, and research institutes. The scope of this new hub is to improve peoples' lives by innovating communications and empower businesses for a digital and sustainable future. We use newest technologies such as 5G, 6G, Augmented Reality, Artificial Intelligence, Data Analytics and Security by Design in order to build new products and propositions for health, industry, transport, automotive, agriculture and many more. Dresden is a dynamically growing high-tech region in the heart of Europe with a strong industrial focus, excellent research landscape. At the same time Dresden is a great place to live with manifold culture, unspoiled nature and an international and family friendly environment. The ideal spot for creativity and innovation.

Purpose of the role:

Responsible for building data science approaches for projects in the Vodafone Tech Innovation Center in Dresden.

What will you be doing?

Main 

• The core task is complex data analysis and pattern recognition
• Independent identification of relevant questions, use cases and associated data sources based on the division goals and an understanding of activities with regard to digital transformation in technology (e.g. digital twin)
• Selection of suitable analysis methods, ensuring data quality and carrying out analyses using catchy technologies
• Use and evaluation of state-of-the-art API
• Consolidation, preparation and visualization of the analysis results for different stakeholders 
• Independent development of a data science approach for the automation of technology systems for complex application
• Establishment and expansion of an appropriate IT infrastructure, if necessary. Requirements definition in line with the Group Big Data Strategy
• Creation of predictive models
• Programming of API to integrate the analysis and prediction models into the operational processes

Interfaces (customers, suppliers and others)

• Partner companies at management and employee level
• Technology /Operations /Group Functions

Leadership and teamwork

• Reliable guidance for experienced colleagues as well as professional guidance and support for less experienced colleagues
• Management and monitoring of projects with an impact on the entire department

Innovation and change

• Innovation management and continuous improvement based on market trends, new analytical methods and tools
• Align activities to ensure the achievement of departmental objectives

Communication

• Communicates within the department and in adjacent departments at work and management level 
• Communicates in projects at work and management level
• Involvement in the relevant committees for the presentation of new concepts up to the executive committee

It would be nice if you have:

Education / Professional experience

• Excellent university degree (Master's or equivalent) in the field of computer science and/or mathematics with a focus on statistical data analysis.
• Relevant professional experience min. 5 years related to data science and/or AI
• Expert in common methods and technologies (e.g. R, SPSS, SAS, Python, tensorflow), in-depth knowledge of at least one of the mentioned platforms
• Broad and in-depth mathematical knowledge with a focus on statistics, data mining/pattern recognition and neural networks 
• Methodical and software engineering knowledge of modern, open API 
• Professional experience in data mining / data analytics projects
• Good English and German skills, both written and spoken

Competencies

• Performs the tasks independently and on his own responsibility
• Independent establishment of structures and approaches
• Very good methodological competence and structured handling of numbers 
• Analytical approach
• Strategic and conceptual thinking
• Motivation to continuously expand and deepen one's own knowledge 
• Team spirit
• High quality awareness
• Questioning existing processes and approaches
• Agile Mindset