Data Scientist  - 1900008E

13/04/2019: "Data Scientist - 1900008E" - Categorie protette

Annuncio dedicato alle persone appartenenti alle categorie protette - legge 68/99.

Generali is a major player in the global insurance industry – a strategic and highly important sector for the growth, development and welfare of modern societies.
We are looking for a Data Scientist within our Analytics Solutions Center which is part of Group Data & Digital Innovation. The candidate will perform data analysis to extract knowledge or insight from structured or unstructured data. S/he will develop advanced statistical algorithms for analysis of large-scale, complex datasets, keep up to date with cutting-edge techniques in machine learning and big data analytics, and seek ways to advance the organization’s capabilities in analytics.

The Data Scientist will have the following accountabilities:
* Uses advanced analytics methods to extract value from business data;
* Performs large-scale experimentation and builds data-driven models to answer business questions;
* Creates hypotheses and experiments to identify hidden relationships and construct new analytics methods;
* Researches bleeding-edge techniques and tools in machine learning/deep learning/artificial intelligence;
* Determines requirements that will be used to train and evolve deep learning models and algorithms;
* Articulates a vision and roadmap for the exploitation of data as a valued corporate asset;
* Visualizes information and develops reports on results of data analysis;
* Influences product teams through presentation of data-based recommendations;
* Spreads best practices to analytics and product teams and implements new tools to make data analysis more efficient.

The ideal candidate will meet the following requirements:

Must have
* Master’s Degree or PhD in Statistics, Computer Science, or a related field;
* 0-5 years’ experience in a similar role;
* Experienced with statistical methodologies and tools;
* Familiar with big data technologies.

Soft Skills
* Strong knowledge in predictive modeling methodology;
* Experienced at leveraging both structured and unstructured data sources;
* Experience using statistics and machine learning to solve complex business problems;
* Willingness and ability to learn new technologies on the job;
* Demonstrated ability to communicate complex results to technical and non-technical audiences.

Orario di lavoro: Tempo pieno

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Caratteristiche richieste
Area funzionale
Area funzionale:
Area funzionale: IT - TLC - Internet - Software - Mansione: Altro: IT - TLC - Internet - Software, Creazione database, Data warehousing , CRM, Big Data, Business Intelligence

Esperienza in area funzionale
Anni di esperienza minima nel settore: 2

  • Assicurazioni

Regione di residenza
Area di ricerca:
Regione: Lombardia

Titolo di studio
Titolo di studio: Laurea specialistica o vecchio ordinamento

Conoscenze informatiche
Conoscenze informatiche:
  • Excel

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