40 - Experienced
Data Scientist M/F
You will be joining the Digital Information Technology (DIT) organization in the Digital Fab department and will support the Company Digital Transformation Program.
It is required to be very open-minded and capable to learn quickly to be promptly adapted to state-of-the-art technologies and architectures with the objective to deliver modern and effective solutions.
The following attitudes and capabilities are requested:
- positive attitude towards challenging situation
- strong analytical and problem solving skills with proactive and preventive approach
- ability to work autonomously with minimal guidance
- proactive mindset
- excellent team and network spirit
Digital IT is bringing exciting changes in the Company: come with us !
As Data Scientist you will drive discovering the information hidden in vast amounts of data, to be used also for decision making, applying data mining techniques, doing statistical analysis, applying Big Data methods and supporting to build prediction systems, identifying the data-analytics problems that offer the greatest opportunities to the organization, determining the correct data sets and variables, devising and applying models and algorithms to mine the stores of big data, analyzing the data to identify patterns and trends, interpreting the data to discover solutions and opportunities, communicating findings to stakeholders using visualization and other means
Deep and fully mastered Data-oriented approach
Data and relevant systems expertise, with consolidated capability for analyzing business processes and data mappings
Capability to apply statistics skills, such as distributions, statistical testing, regression, etc.
Data Mining, Data Analytics Techniques, analysis on Big Data with excellent understanding of machine learning techniques and algorithms
Languages and techniques for Database DDL and DML including ones for not-structured information (SQL, NOSQL, etc.)
Data Visualization tools for Business Intelligence, Big Data exploration (PowerBI, Tableau, Tibco Spotfire, etc.), data science toolkits
Data quality strategies, techniques and tools (Informatica, Talend, SaaS, Information Builders, etc.)
Data management/curation (manipulation and analysis of complex, high volume and high dimensionality data, data modelling.
The Employment search is addressed to candidates of both genders, under Law 10.04.1991 n. 125, as amended by Legislative Decree n. 198/2006 which guarantees gender equality at work
Europe, Italy, Catania
Education level required
5 - Master degree
Experience level required
English (2- Business fluent)
Desired start date