Senior Expert Data Scientist (m/w/d)

Key Skills

Java Programming, Teamwork, Leadership, Management, Python Programming, SQL, API, Big Data Technology, Data science techniques, Data Mining, TensorFlow, Data Analytics, R Programming, Neural Networks, SAS, SPSS Statistics, Mathematics, Data Analysis

Job Description

At Vodafone, we work towards a better future every day. For a world that is better connected, more inclusive and more sustainable. Because for us, technology is only as strong as the people who use it. Join us and let's shape the world of tomorrow together.

The Vodafone Tech Innovation Center Dresden is Vodafone's new global center for innovation and co-creation with other world top tech companies, universities and research institutes. The aim of the new center is to improve all of our lives through innovations and to make companies fit for the digital and sustainable future. Using the latest technologies such as 5G, 6G, augmented reality, artificial intelligence, data analysis and security by design, we develop new products and offers for health, industry, mobility, automobiles, agriculture and many more. Dresden is a dynamically growing high-tech region in the heart of Europe with a strong industrial focus and an excellent research landscape. At the same time, Dresden is a great city to live in with a diverse culture, original nature and an international and family-friendly environment. The ideal place for creativity and innovation.

What's waiting for you:

• As Senior Expert Data Scientist (m/f/d) in the Digital & IT Innovation Center you will work on complex data analysis and pattern recognition.
• You independently identify relevant questions, use cases and associated data sources based on the divisional goals and understand the activities with regard to digital transformation in technology (e.g. digital twin).
• You choose suitable analysis methods, ensure data quality and carry out the analyzes with catchy technologies.
• You use the latest APIs and evaluate them.
• You consolidate and prepare analysis results and visualize them for different stakeholders.
• You independently develop a data science approach to automating technology systems for complex applications.
• If necessary, you will set up an appropriate IT infrastructure, whereby the definition of requirements is in line with the big data strategy of the group.
• You create prediction models and program the API to integrate the analysis and prediction models into operational processes.

Customers, suppliers and others:

• You interact with interfaces in the area of ??technology, operations and with functions of the group at management level up to the group management.
• You work together with partner companies at management and employee level.

Leadership and Teamwork:

• You will professionally guide and support experienced and less experienced colleagues.
• You control and support projects that affect the entire department.

Innovation and change:

• You are responsible for innovation management and continuously look for improvements based on market trends, new analysis methods and tools.
• You align your activities to ensure the achievement of departmental goals.

Communication:

• You communicate within the department and in adjacent departments, e.g. in the context of projects, at work and management level.
• You are involved in the responsible committees for the presentation of new concepts up to the board.

What sets you apart:

Core competencies, knowledge and experience:

• a high level of independence and personal responsibility in processing tasks and establishing structures and approaches
• very good methodological skills, a high level of analytical understanding and a structured handling of numbers
• strong strategic and conceptual thinking
• Motivation to continuously expand and deepen your own knowledge
• Team spirit and an agile mindset
• a high quality awareness and constant questioning of existing processes and approaches

Technical / professional qualifications:

• a very well completed degree (master or equivalent) in the field of computer science and/or mathematics with a focus on statistical data analysis
• Relevant professional experience, of which at least 5 years related to data science and/or AI
• Experience in data mining or data analytics projects
• Expertise in common methods and technologies (e.g. R, SPSS, SAS, Python, tensorflow)
• In-depth mathematical knowledge with a focus on statistics, data mining/pattern recognition and neural networks
• Knowledge of method and software engineering of modern, open API
• Good knowledge of spoken and written English and German

This position can be full-time or part-time (at least 30 hours).

Severely disabled applicants will be given special consideration if they are equally qualified.

We fill this position for Vodafone Group Services GmbH.

What we offer you:

• Use our full flex office working model and, after consultation with your manager, work not only at the office, but also up to 75% anywhere from where you are good at it, and up to 20 days a year from other European countries.
• As part of Full Flex Office, we will reimburse you for a large part of the costs for your Vodafone landline and Internet connection and you will also receive the necessary equipment, such as a monitor, for your home office.
• While you receive monthly discounts on Vodafone mobile products, your friends and family benefit from our Vodafone Friends & Family discount.
• With access to our internal learning platform and LinkedIn Learning, you can decide which training and further education programs you use for your individual development.
• In addition to your 30 days of vacation, with UrlaubPlus we give you the option of an additional 10 days of vacation in return for a salary cut.
• We support you and your family in all situations, for example with a generous parental leave policy.
• We attach great importance to your health and offer you access to online sports courses.
• Is being mobile important to you? Then use our car and bike leasing options.
• With us you will receive an attractive salary and a modern company pension scheme.