Vie Data Scientist / Data Mining

Req ID:209502We create smart innovations to meet the mobility challenges of today and tomorrow. We design and manufacture a complete range of transportation systems, from high-speed trains to electric buses and driverless trains, as well as infrastructure, signalling and digital mobility solutions. Joining us means joining a truly global community of more than 38 900 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact.In Chile, Alstom has more than 450 employees distributed in 6 sites all over Santiago City and Limache. We have manufactured around 70% of Metro de Santiago total fleet and the most modern suburban trains in service for EFE and Metro Valparaíso. We deliver full rolling stock maintenance and modernization services for our customers and we provide and maintain state-of-the-art signaling solutions both for metro an suburban lines. We are also proud to own the most modern electronic laboratory in the country which allows us to fulfill locally the most complex needs of our customers.**Purpose**:Support Service Operation in the ADN Program (Agile Digital and New) analyzing and managing data, digitalizing, and optimizing process to improve efficiency and rentability of Chilian Unit, providing also on-line KPIs to help management to take best and quick decisions.Collect data from current operation systems from different projects, make critical analysis of content, propose dashboard and KPIs, develop and/or customize software solutions for centralized digital forms and reports of Alstom Chile. Analyze and propose the best solution for the digitization of documents for the company based on business cases and preliminary studies. (internal solution or external solution). Launch or develop business intelligent solution aligned with state of art of technology of data management.An agile, inclusive and responsible culture is the foundation of our company where diverse people are offered excellent opportunities to grow, learn and advance in their careers. We are committed to encouraging our employees to reach their full potential, while valuing and respecting them as individuals.**Job Segment**:Data Mining, Database, Technology