{"id":16183,"date":"2019-07-08T13:56:02","date_gmt":"2019-07-08T17:56:02","guid":{"rendered":"https:\/\/live-pmp-vitrine-1.pantheonsite.io\/2024\/03\/13\/data-scientist-data-analyst-data-engineer-tous-les-metiers-de-la-donnee-chez-pmp-3\/"},"modified":"2024-04-10T14:53:48","modified_gmt":"2024-04-10T18:53:48","slug":"data-scientist-data-analyst-data-engineer-tous-les-metiers-de-la-donnee-chez-pmp-3","status":"publish","type":"post","link":"http:\/\/pmpstrategy.com\/en\/2019\/07\/08\/data-scientist-data-analyst-data-engineer-tous-les-metiers-de-la-donnee-chez-pmp-3\/","title":{"rendered":"Data scientist, data analyst, data engineer: all data professions at PMP"},"content":{"rendered":"

During an interactive session at T\u00e9l\u00e9com ParisTech, Anindya Roy (Manager data scientist at PMP) reviewed her academic career and her past and present professional experiences at PMP. <\/span>Some cases of application of data science on missions carried out for PMP were mentioned: extraction of unstructured information in a human resources context, question-answer system, voicebots\u2026 The presentation then mainly focused on the cycle life of the typical data science project. <\/span>The role of the data scientist in putting such a project into production was then discussed, as well as its articulation and interactions with teams of data engineers and data analysts.<\/span><\/span><\/p>\n

The full report of the industrial data science seminar of the Specialized Master in “Big Data” of June 20, 2019:<\/span><\/p>\n<\/p>\n

\"Data<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

During an interactive session at T\u00e9l\u00e9com ParisTech, Anindya Roy (Manager data scientist at PMP) reviewed her academic career and her past and present professional experiences at PMP. 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