Data Scientist

Company:
Location: Geneva, GE

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aXelerateur est la marque d’iXion Services SA pour la délégation et le placement en informatique.

iXion Services SA prend en charge la globalité des infrastructures IT de ses clients. Entreprise suisse reconnue comme un partenaire informatique compétent, fiable, flexible et innovant, ses activités principales sont l’intégration système et le manage services.

Forte de 15 ans d’expérience , et de plus de 140 collaborateurs hautement qualifiés, répartis entre son siège social de Chexbres (VD) et ses bureaux situés à Meyrin (GE), Sion (VS) et Bienne (BE). iXion est autofinancée et réalise 80% de son CA en prestations de services IT.

Elle enregistre une croissance constante de son volume d’affaires, compte aujourd’hui plus de 200 clients dans de nombreux secteurs d’activités, administrant pas moins de 1’500 serveurs et 15'000 utilisateurs.

Si vous souhaitez rejoindre une entreprise dynamique, nous vous proposons un poste de Data Scientist sis à Genève

Data Scientist

en délégation en longue durée

Tâches principales

  • Data Cleansing and Processing
  • Predictive Model
  • Storytelling and Visualization
  • Data processing specification documents
  • Data Model

Core Tasks
Select features, build and optimize classifiers using machine learning techniques such as distributions, statistical testing, regression, as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Data mining using state-of-the-art methods
Apply models using common data science toolkits, such as R, NumPy, MatLab, PySpark, etc
Doing ad-hoc analysis and presenting results in a clear manner via dashboards, reports or visualization using BI tools as Tableau, Power BI or Qlik or using JavaScript libraries as D3.js
Work in public cloud environment (AWS, Azure, Google or Oracle)
Extending company’s data with third party sources of information as social media, internet, etc
Enhancing data collection procedures to include information that is relevant for building analytic systems
Collect and process structure and unstructured

Principales qualifications souhaitées

Advanced university degree (Masters or equivalent) in mathematics, physics, statistics, computer science, engineering or other relevant fields.
A Bachelor's degree with two additional work experience is also acceptable
Any Data certification as Microsoft Data Certifications, AWS Big Data Specialist, Cloudera, Microsoft Data Management and Analytics, Microsoft Azure Big Data Analytics Solution, Oracle BI Intelligence Foundation Plus or SAS Big Data will be a plus.
Prince2 Agile, ITIL, SCRUM, etc. certifications preferred
Experience
Five years programming experience in Python, R or JavaScript, and an understanding of statistical analysis.
Skills in visualizing data using BI tools as Power BI, Tableau or Qlik Sense or D3.js, Highcharts, or Google charts.
Database experience (Microsoft SQL Server).
Experience writing APIs.
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Experience with common data science toolkits, such as R, NumPy, MatLab, PySpark, etc .
Excellence in at least one of these is highly desirable
Familiarity with data visualization tools, such as D3.js, GGplot etc.is a plus.
Experience with business intelligence tools (e.g. Tableau, Power BI or Qlik) is a plus
Proficiency in using query languages such as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra or HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills in Python, Java or Scala
Experience in cloud development as AWS or Azure is a plus.
Data-oriented personality

*** Mention DataYoshi when applying ***

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