Data Scientist Machine Learning (m/f)

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Beschreibung

top itservices AG is a personnel service provider for the IT and engineering sectors. Since 1980 we have specialised in helping our clients find highly skilled experts and executing projects ourselves. As a medium-sized company, we are a professional partner for any business that requires IT and engineering services and are one of the top project providers and employers in these areas.

Your tasks
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

Qualifications
• Very good understanding of machine learning techniques and algorithms, e.g. k-NN, Naive Bayes, SVM, Decision Trees, Neural Networks
• Excellence in using R and / or Python
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Sound experience with data visualisation tools (PowerBI, Tableau, etc.)
• Know-how in query languages (SQL, Hive), NoSQL databases (HBase, Cassandra) and Big Data / streaming technologies (Hadoop, Spark, Kafka, Storm)
• Consulting and business experience
• Willingness to travel
• Fluent in English, German considered as a plus.

Apply
Are you interested in that offering Data Scientist (m/f) - please send us your application for the Job-ID to If you have any further questions please don´t hesitate to contact us by telephone under . Your contact person is Frau Susanne Fuhge.

Referenznummer:

Kontaktperson: Susanne Fuhge


top itservices AG

Tel:
Fax:
Mail:
Web: http://www.top-itservices.com/
Start
10 / 2017
Dauer
6 Monate
Von
top itservices AG
Eingestellt
16.09.2017
Ansprechpartner:
Susann Stechling
Projekt-ID:
1418451
Vertragsart
Festanstellung
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