Data Scientist

Responsibilities

  • Collecting customer information needs.
  • Processing, cleaning and verifing the integrity of the data used for the analysis.
  • Solving non-routine interdisciplinary analysis
    problems by applying advanced analytical methods when
    necessary.
  • Improving data collection procedures to include relevant information for the construction of analytical systems.
  • Taking part on the design and implementation of architectures for the operationalization of the developed models (deploy).
  • Carring out ad-hoc analysis and presenting results in a clear way.
  • Designing and implementing mechanisms for evaluating and monitoring the models.
  • Transfering knowledge about the interpretation and use of the information provided by the developed models.
  • Taking training courses and technology certifications related to their tasks.
  • Participating and contributing content to the IT Community.

Skills and requirements

Must-haves

  • University degree in Systems, Computer Science, Statistics or a related field.
  • Solid knowledge on the life cycle of Data Science projects. Excellent command of Analytical techniques such as Machine Learning, Deep Learning and NLP.
  • Good command of statistics, including tests and statistical distributions.
  • Programming experience (eg Python, R)
  • Big data experience (eg Spark, Hadoop)
  • Cloud services experience (eg Azure, AWS, IBM)
  • Excellent visual, oral and written
    communication skills.
  • Orientation to results, curiosity, attention to detail.
  • Excellent learning and adaptation skills.
  • Intermediate level of English

Nice-to-haves

  • Experience in reporting and data visualization.
  • Experience in management, versioning and code repository.
  • Good database query domain (eg, SQL, MySQL).
  • Experience with agile management methodologies.

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