Posizione: Associate

Tipo di lavoro: Full-time

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Contenuto del lavoro

Every day, around 3.000 medi employees the world over work on innovative solutions for better quality of life – from Bayreuth to the world. Our vision: Enabling maximum therapeutic success in the Medical area, and maximum comfort in the Sport and Fashion segments. Motivated by the love of challenges, we work to set the standard with our products and concepts, scientifically sound and at a high-tech level.

The people of medi: Ambitious go-getters with heart

Working for medi means bringing creative and innovative ideas to life, taking new roads together and going beyond yourself. It’s all with the goal of helping people everywhere feel better. At the centre of it is the “medi Spirit” of a family-owned company with a global outlook.

Are you a go-getter with heart? Do you want to help write the medi success story?

Join our team. We look forward to meeting you!

Do you love to test and trial new ideas and approaches to get great results? Are you always looking for new challenges to improve your skills? Then you’ve found the right place. In our newly created Analytics Department, we are transforming data into added value. Are you up for the challenge? Welcome to the team!

Aufgaben
  • You are responsible for the development of future-ready advanced analytics use cases based on cloud technology.
  • Together with business analysts and data engineers you work on the development of statistical models, machine learning and AI to discover hidden trends and deliver insights and analysis with clear actionable recommendations.
  • You are the first point of contact at medi for AI: You collaborate with multiple teams inside and outside the organization to bring analytical practice at medi to the next level.
  • You develop standards to ensure developed models are updated and maintained smoothly within operations.
  • You encourage a team culture of creative solutions and agility, while always keeping your goal in mind.
Profil
  • You have successfully completed a graduate degree in (business) information technology, computer science, (economical) mathematics, statistics or physics, or have gained equivalent knowledge and skills through long and successful career experience and ongoing education.
  • You have a strong knowledge of and experience with developing analytical models in the area of statistics, machine learning, AI or optimization.
  • You bring impressive capabilities in data linkage and processing using scripts in T-SQL, Python, R, Scala or Java and file formats like parquet, JSON or XML.
  • Experience with Big Data ecosystems, for example Spark, Kafka, Kinesis, Databricks as well as relational database help you to fulfil demands with high accuracy.
  • You are distinguished by hands-on experience with cloud environments like AWS, Azure or GCP.
  • You are confident in stakeholder management, scoping innovative solutions and projects and owning delivery in a dynamic team.
  • Leadership experience in the analytics context would be an asset.
  • You enjoy working towards success and objectives.
  • You are a motivated personality with a definite hands-on mind set and plenty of initiative, and you want to actively drive company growth.
  • Your German and English skills are excellent.
Wir bieten
  • Working for a world leading manufacturer of medical aids, with plenty of room for your innovative ideas.
  • We appreciate you, your opinion and your work. You’ll enjoy a company culture that encourages constructive solutions, trust, responsibility and excitement.
  • We want you to reach your full potential at medi. We help with individual ongoing education options and attendance at seminars, events and congresses.
  • We help you achieve the ideal work-life balance, through sport, healthy nutrition and great colleagues.
  • You can look forward to a modern workplace concept, for example with flexi-time and the option of working remotely.
  • Live and work in the Culinary Region of Upper Franconia, with a wide variety of recreational possibilities within a short distance.
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Scadenza: 08-12-2024

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