Data Scientist (m/w/d) - 221-3068

München  ‐ Vor Ort
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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.

Task description

  • Analyse data in the field of Customer Base Management
  • Develop machine learning models for retention, cross-/up-selling and subsidy management using mainly Python and also R
  • Prepare data from internal and external, structured and semi-structured data sources
  • Support in deployment of machine learning models on-premise and on Azure
  • Visualise and explain results and decisions


Qualifications

  • Ph.D. or masters degree in Computer Science, Mathematics, Statistics, Physics or related quantitative discipline
  • 2+ years working experience as a data scientist with a deep understanding in statistics, machine learning and data mining
  • Strong skills in Python for machine learning and commonly used packages
  • Knowledge of SQL and related skills for structured and semi-structured data sources
  • Experience in the deployment of machine learning models in production environments


What we offer to you

  • Challenging and fascinating tasks in a dynamic company
  • Innovative and modern environment
  • Personal and skill development


Apply

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

*Although the text refers to one gender, all genders may be implied.

Referenznummer:

top itservices AG

Kontaktperson:
Frau Susanne Fuhge
Tel:
E-Mail:
Web: http://www.top-itservices.com/
Start
05/2019
Dauer
6 Monate
Von
top itservices AG
Eingestellt
04.05.2019
Ansprechpartner:
Anne Diener-Zimmermann
Projekt-ID:
1766195
Vertragsart
Freiberuflich
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