Senior Data Scientist

Brussels  ‐ Onsite
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Description

Senior Data Scientist

Role:

Your core objectives as a Senior data scientist in the Advanced Analytics team will be to create innovative solutions that rely on data science and experiment new technologies to bring value as a data and insights-driven company.
In order to reach these objectives, you will:

  • Manipulate structured and unstructured data sources and conduct data analysis using advanced analytics techniques to produce valuable and actionable output within the amount of time dedicated to the use case
  • Deliver the insights through enhanced data visualization applications
  • Actively contribute to the evolution of the Advanced Analytics in terms of insights, software, techniques,
  • Contribute to maturing new ideas (products, technical components, ) whether as proofs of concepts or as actual developments that are meant to become part of our production toolkit.

Profile:

  • You have a proven track record of successful hands-on experiences in the area of advanced analytics. Education in data science without previous practical hands-on experience will not be accepted.
  • You are proficient in R, Python and Spark. Knowledge of Scala is a plus.
  • You are proficient in relational database querying (SQL) or in data collection and transformation (ETL)
  • You master analytical techniques such as machine learning, text mining, network analytics, process mining,
  • You are at ease with visualization tools like RShiny
  • You have experience with command line tools (UNIX) and version control tools like GIT
  • You know the Hadoop ecosystem (knowledge of the Cloudera distribution of Hadoop will be a plus)
  • You have strong verbal and written communication skills as well as good customer relationship skills to present the results of a use case to different audiences (from end users up to division management). You are able to explain complex concepts in a simplified manner.
  • You have experience implementing advanced analytics solutions into a well-controlled production environment
  • You are able to learn quickly, adjust to changes and think outside the box
  • You are self-motivated and confident with a positive attitude,
  • You have excellent time management and organizational skills, with attention to details
  • You have a past experience in agile development methodologies (SCRUM, RAD, ) and make sure that the deliverables contribute to the final product
  • You stay abreast of new tools and technologies to practice up-to-date data analytic strategies

Your qualifications are the following:

  • Master's degree in statistics, applied mathematics, or a related quantitative field, combined with strong IT skills
  • 5+ years of experience in advanced data analytics
  • 5+ years of experience with open source statistical programming languages (eg. R, Python)
Start date
ASAP
Duration
12 months
From
Base 3
Published at
26.01.2018
Project ID:
1491898
Contract type
Freelance
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