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.

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