Data Scientist

14 November 2018
Rome, Italy
Job Type
Base Salary
Not specified


Responsibilities include:

• individualize main data sources for business processes;

• identify and validate Big Data datasets useful for the definition of predictive and meaningful KPI;

• develop prototypes and proof of concept for innovative projects using agile development tools;

• promote and suggest the correct application of statistic techniques, artificial intelligence and/or advanced analytics (e.g. deep learning, machine learning);

• support Business Stakeholder in identifying the most effective and profitable business cases;

• guarantee and coordinate the entire realization path of a Use Case in Big Data logic (from the collection of the necessary information to the use of advanced analytical tools, visualization logics and computer science tools);

• communicate results through the use of specific visualization tools

Requested Skills

• software development technologies in the Date Science (Python, Java, Staircase, R) and architectures and framework for the main Big Data ecosystems (Hadoop, MongoDB, Cassandra)
• Windows and Linux
• best practices and Date Visualization & Presentation tools
• principal environments and analysis tools: Matlab, SAS tools
• open source libraries and framework: Tensorflow, MLLib, H2O, Theano, Scikit
• data modeling and transformation: Hive, HBase, Spark, MR
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