Data Scientist

Staefa, Switzerland

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With over 700’000 active users worldwide, our sophisticated applications provide advanced access to our market-leading medical hearing aids. There is a growing need for technical solutions to serve aging societies and promote healthy aging. In our R&D department we drive innovation in the wearable medical device sector. We are looking for you, as our new colleague and Data Scientist.
Are you curious to explore unchartered territories?
Do you want to contribute to innovative products at the intersection of hearing instruments technology and usage data?
Are you ready to explore a new field of innovation and help the company reimagine the way data can be used to enhance people’s quality of life?

 

Your tasks

 

  • Apply advanced statistical and machine learning methods to analyze data from diverse data sets (incl. hearing aids and mobile apps) to derive insights for product design and business decisions across the value chain
  • Design and develop solutions starting from scratch
  • Collaborate effectively with Researchers, Data Engineers, Developers, R&D Management, and Marketing 

 

Your profile

 

  • Master’s or PhD degree in Engineering or similar with major on Data Sciences
  • Profound knowledge in Python or R 
  • Strong proficiency in T-SQL/SQL/Spark SQL
  • 3+ year's experience in data science and machine learning frameworks, e.g. Databricks, Keras, TensorFlow, PyTorch, version control software like Git, BitBucket, CodeCommit or similar
  • Result-oriented team player with a pragmatic approach and good communication skills
  • Ability to effectively adapt to change and willingness to learn and apply new technologies, processes and tools
  • Fluent in English, German is a plus  

 

Our offer

 

We can offer you a new challenge, with interesting tasks and much more – including an open corporate culture, flat hierarchies, support for further training and development, opportunities to take on responsibility, an excellent range of foods, sports and cultural facilities, attractive employment conditions, and flexible working time models in various roles. 
Employment level 80-100%.

 

Gianni S. Raffi, Senior Talent Acquisition Manager, is looking forward to receiving your complete application (cover letter, CV, references and certificates) via our online job application platform.

 

For this vacancy only direct applications will be considered. 

 

Sonova AG
Laubisrütistrasse 28
CH-8712 Stäfa 

+41 58 928 01 01

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Bitbucket Databricks Engineering Git Keras Machine Learning PhD Python PyTorch R R&D Spark SQL Statistics TensorFlow T-SQL

Perks/benefits: Career development Flex hours

Region: Europe
Country: Switzerland

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