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En d\u00e9couvrant les avanc\u00e9es li\u00e9es \u00e0 son m\u00e9tier, elle a r\u00e9alis\u00e9 que la science des donn\u00e9es tendait \u00e0 \u00eatre pr\u00e9dominante et omnipr\u00e9sente. Un must have qui l'a propuls\u00e9e chez Nestl\u00e9 o\u00f9 elle s'\u00e9panouit pleinement dans son r\u00f4le de CMI.","_yoast_wpseo_title":"La Data Science comme tremplin: une r\u00e9v\u00e9lation prometteuse pour Charlotte | Le Wagon","contenu_de_larticle":"<h2><strong>Que faisais-tu avant Le Wagon?&nbsp;<\/strong><\/h2><div>Apr\u00e8s mes \u00e9tudes \u00e0 l\u2019Ecole h\u00f4teli\u00e8re de Lausanne, j\u2019ai \u00e9t\u00e9 engag\u00e9e comme stagiaire chez L\u2019Or\u00e9al. J\u2019ai ensuite \u00e9t\u00e9 promue Consumer &amp; Market Intelligence Specialist en Suisse puis, Manager au Royaume-Uni. En bref, il s\u2019agit de collecter et d\u2019analyser des donn\u00e9es sur le comportement du consommateur et sur les tendances du march\u00e9 afin de guider les \u00e9quipes marketing dans leurs processus de d\u00e9cision et strat\u00e9gies. Les donn\u00e9es r\u00e9colt\u00e9es permettent de mettre le consommateur au c\u0153ur des d\u00e9cisions et de mieux r\u00e9pondre \u00e0 ses besoins.<\/div><div>&nbsp;<\/div><h2><strong>Qu\u2019est-ce qui t\u2019a motiv\u00e9e \u00e0 suivre le bootcamp de Data Science?&nbsp;<\/strong><\/h2><div>Lors de mon exp\u00e9rience \u00e0 Londres, j\u2019ai d\u00e9couvert d\u2019impressionnantes avanc\u00e9es du marketing et du digital, notamment \u00e0 travers les nouvelles techniques d\u2019\u00e9tudes de march\u00e9. Je ne souhaitais pas devenir Data Scientist ou Data Engineer. Dans ma mission de CMI, comprendre ce qu\u2019il se passe derri\u00e8re tous ces traitements de donn\u00e9es est un vrai plus.<\/div><div>&nbsp;<\/div><h2><strong>Tu travailles maintenant chez Nestl\u00e9, en quoi Le Wagon a-t-il \u00e9t\u00e9 b\u00e9n\u00e9fique?&nbsp;<\/strong><\/h2><div>Ma formation en Data Science a clairement \u00e9t\u00e9 d\u00e9cisive pour mon engagement, c\u2019\u00e9tait un r\u00e9el tremplin. Je suis aujourd\u2019hui CMI Lead sur une cat\u00e9gorie pour la zone Europe. On utilise de plus en plus de techniques li\u00e9es \u00e0 l\u2019intelligence artificielle avec, par exemple, le machine learning. Le but est de mieux pr\u00e9dire des tendances via des algorithmes ou le traitement du langage naturel (NLP).<\/div><div>&nbsp;<\/div><div>D\u00e9sormais, je suis capable de recommander l\u2019approche et la m\u00e9thodologie la plus appropri\u00e9e afin de r\u00e9pondre \u00e0 une question business. Je peux ainsi guider et challenger les agences partenaires de mani\u00e8re optimale. En fait, je suis un \"data translator\", c\u2019est-\u00e0-dire que je traduis le travail du Data Scientist ou du Data Engineer pour extraire de vrais insights, des donn\u00e9es et construire de solides recommandations destin\u00e9es au marketing. C\u2019est mieux comprendre pour mieux influencer.&nbsp;<\/div><div>&nbsp;<\/div><h2><strong>Comment as-tu v\u00e9cu ton exp\u00e9rience au Wagon?&nbsp;<\/strong><\/h2><div>C\u2019\u00e9tait tr\u00e8s challenging et tr\u00e8s intense. La diff\u00e9rence de niveaux et de profils entre \u00e9l\u00e8ves \u00e9taient enrichissante. Il y avait une grande entraide qui nous poussait \u00e0 \u00e9changer, par exemple, comme un Data Analyst \u00e9changerait avec un Data Scientist et vice versa.&nbsp;<\/div><div>&nbsp;<\/div><div>C\u2019\u00e9tait l\u2019exp\u00e9rience la plus int\u00e9ressante de ma vie au niveau acad\u00e9mique!&nbsp;<\/div><div>&nbsp;<\/div><h2><strong>Tu faisais beaucoup de sport durant le bootcamp. Est-ce toujours le cas?<\/strong><\/h2><div>Oui, je suis toujours \u00e0 fond dans le sport. Actuellement, je m\u2019entraine pour la Patrouille des Glaciers ainsi que pour le full IRONMAN de Cascais.&nbsp;<\/div><div>&nbsp;<\/div><h2><strong>Un conseil pour les futur.e.s alumni?<\/strong><\/h2><blockquote>Foncez, c\u2019est l\u2019avenir! On sous-estime compl\u00e8tement la Data Science, je pense qu'elle dominera toute activit\u00e9 professionnelle d\u2019ici 10 ans.<\/blockquote><div>Je dirais presque que c\u2019est un devoir de comprendre cet environnement. En tout cas, la formation n\u2019est pas uniquement d\u00e9di\u00e9es \u00e0 de potentiel.lle.s Data Engineers ou Data Scientists.&nbsp;<\/div>","_contenu_de_larticle":null,"titre_de_la_banniere":null,"_titre_de_la_banniere":null,"paragraphe_de_la_banniere":null,"_paragraphe_de_la_banniere":null,"intitule_du_bouton_de_la_banniere":null,"_intitule_du_bouton_de_la_banniere":null,"lien_du_bouton_de_la_banniere":null,"_lien_du_bouton_de_la_banniere":null,"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>La Data Science comme tremplin: une r\u00e9v\u00e9lation prometteuse pour Charlotte | Le Wagon<\/title>\n<meta name=\"description\" content=\"Charlotte \u00e9tait Consumer &amp; Market Intelligence Manager chez L\u2019Or\u00e9al lorsqu\u2019elle s\u2019est familiaris\u00e9e avec la notion de Data Science. 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