Senior Data Scientist/Data Architect
TEAM PARTNERS Suisse SA
THONEX (GE), CH
vor 3 Tg.
source : WeJob

Description

Major actor in its business area, Team Partners is present in Switzerland since 1998.

We are primarily a provider of computer services for large and medium-sized enterprises in Switzerland. We assist our clients in developing their information system and to launch new services.

We are organized into three departments, each offering complementary services.

  • The first department entitled Project Consulting includes consultants delegation for long missions at our customers. They work both on the management of the infrastructure and on the support application development.
  • This department also depends on the specific developments made for mobile platforms (tablets, smartphones ...) or Workflow projects.

  • The second department is responsible for the promotion, sales and implementation of software solutions developed by famous editors.
  • We offer solutions for BI, BPM or Release Management.

  • Consulting Department's main purpose is to assist Directors in the selection and support of their IT managers. These missions often lead to coaching young managers.
  • For our of our important customer in Geneva, we're currently looking for the following profile :

    Senio Data Scientist / Data Architect

    Experience

  • 7 years experience as a Data Scientist / Data Architect
  • Strong experience in large-scale implementations / deployments of systems leveraging Artificial Intelligence / Machine Learning technologies .
  • for text / image recognition, identification / authentication

  • Strong experience in data mining / analysis, data modeling / neuronal network and data visualization / reporting methods and tools
  • Soft Skills

  • Strong organizational skills .
  • Problem solving and strength to challenge technical solutions and rigorous architectures.
  • Strong communication,leadership and influence .
  • Capacity to understand business needs
  • Technical Skills

  • Master Degree in Computer Science, Statistics or Mathematics
  • Strong knowledge of statistics and analyzing datasets tools (such as SPSS, SAS, Excel or similar).
  • Programming languages and environments such as Python or H2O
  • French and English
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