Data Scientist - Munich, Deutschland - diconium group
Beschreibung
Munich, StuttgartDiconium is a specialist in the fields of data and artificial intelligence.
Whether in the areas of search, social and content, personalization and analytics, data engineering or data science - our expertise helps our customers to collect the right data at the right time, to forecast services and offers and thus to make data-driven decisions.
Become a part of the diconium data family and support us on our Data & AI journeyYour duties:
- You will consult and support our clients in developing data science and machine learning use cases
- You will work with large data sets to solve different kind of problems using advanced statistical and machine learning techniques
- You will collaborate with other units to build efficient, innovative, and useful data products for our clients as well as for our data science team
- You will clean and transform large datasets from a wide array of data sources
- You will present business insights to internal and external stakeholders and create business value through data science
Your profile:
Must have skills:
- Python
- Machine Learning
- Scikitlearn, Tensorflow
- SQL
- Statistics
- 3+ years of working experience as data scientist
- fluent in German and English
Nice to have:
- Tableau
- NLP
Our offer:
- Born digital: Benefit from our many years of experience and our agile uptodate culture
- Life-WorkBalance: Decide for yourself where and when you work: across locations in the Digital Workspace, parttime, completely flexible, taking a sabbatical no problem with us.
- Appreciation: We rely on flat hierarchies and are respectful, loyal and appreciative.
- Perspectives: We offer very different and individually tailored career models and a steep learning curve.
- Benefits: In addition to retirement provisions, employee discounts and a wide range of sports activities, we offer great company outings and legendary parties.
- Hybrid Work: We support you in working from home in a healthy and wellequipped manner. Remote onboarding included, of course
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