Data Scientist / Digital Scientist (f/m/d)

☞ medi GmbH & Co. KG

View: 209

Update day: 07-10-2024

Location: Bayreuth Bavaria

Category: High Technology Mechanical / Technical Electrical / Electronics IT - Software

Industry: Medical Devices

Position: Entry level

Job type: Full-time

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Job content

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!

Are you passionate about data? Are you always looking for new challenges to improve your skills? Then you have found the right place. In our newly created Analytics Department, we are transforming data into added value. Welcome to the team!

Aufgaben
  • Together with a team of business analysts and data engineers you develop statistical models, machine learning and AI to generate relevant and actionable business insights.
  • You work in different business contexts and focus on digital use cases in the area of e-commerce, web and mobile applications as well as digital medical products.
  • Your responsibility is to develop MVPs in an agile and creative environment, to integrate them into business processes as well as to continuously monitor and optimize them.
  • You will handle structured and unstructured data from inside or outside the organization and use analytical methods - simple or complex - always focussing on practical results.
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 practical experience with handling digital data for instance while working for a tech company or in the eBusiness.
  • Developing analytical models in the area of statistics, machine learning, AI or optimization is your passion.
  • You bring solid 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 databases 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 excited about developing innovative data products in a dynamic team.
  • 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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Deadline: 21-11-2024

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