{"id":40482,"date":"2026-03-30T15:09:19","date_gmt":"2026-03-30T13:09:19","guid":{"rendered":"https:\/\/www.huwise.com\/?post_type=glossary&#038;p=40482"},"modified":"2026-03-30T15:09:19","modified_gmt":"2026-03-30T13:09:19","slug":"data-scientist","status":"publish","type":"glossary","link":"https:\/\/www.huwise.com\/fr\/glossaire\/data-scientist\/","title":{"rendered":"Data Scientist"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Souvent d\u00e9crit comme \u00e0 mi-chemin entre math\u00e9maticien, ing\u00e9nieur logiciel et analyste m\u00e9tier, le data scientist traduit les donn\u00e9es brutes en mod\u00e8les, pr\u00e9visions et recommandations qui orientent la prise de d\u00e9cision strat\u00e9gique.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Le r\u00f4le a \u00e9merg\u00e9 \u00e0 l&rsquo;intersection de la <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/science-des-donnees-data-science\/\"><span style=\"font-weight: 400;\">science des donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\">, de l&rsquo;informatique et de l&rsquo;expertise m\u00e9tier, et est devenu indispensable dans les organisations data-driven.<\/span><\/p>\n<h2><b>Comp\u00e9tences cl\u00e9s du data scientist<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Mod\u00e9lisation statistique : <\/b><span style=\"font-weight: 400;\">construire et valider des mod\u00e8les math\u00e9matiques qui d\u00e9crivent des patterns, des relations et des probabilit\u00e9s dans les donn\u00e9es.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Machine learning : <\/b><span style=\"font-weight: 400;\">d\u00e9velopper et entra\u00eener des algorithmes ML pour la classification, la r\u00e9gression, le clustering, la recommandation et la d\u00e9tection d&rsquo;anomalies.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Programmation : <\/b><span style=\"font-weight: 400;\">ma\u00eetrise de Python, R, SQL et des biblioth\u00e8ques de data science (pandas, scikit-learn, TensorFlow, etc.)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Pr\u00e9paration des donn\u00e9es : <\/b><span style=\"font-weight: 400;\">nettoyer, transformer et pr\u00e9parer des donn\u00e9es r\u00e9elles d\u00e9sordonn\u00e9es pour l&rsquo;analyse, un processus \u00e9troitement li\u00e9 au <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/nettoyage-des-donnees\/\"><span style=\"font-weight: 400;\">nettoyage des donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\"> et \u00e0 la <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/data-preparation\/\"><span style=\"font-weight: 400;\">pr\u00e9paration des donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Communication : <\/b><span style=\"font-weight: 400;\">traduire des r\u00e9sultats techniques en r\u00e9cits m\u00e9tier clairs pour des parties prenantes non techniques, dimension critique de la <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/litteratie-des-donnees-data-literacy\/\"><span style=\"font-weight: 400;\">litt\u00e9ratie des donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Expertise m\u00e9tier : <\/b><span style=\"font-weight: 400;\">comprendre le contexte business dans lequel les donn\u00e9es sont g\u00e9n\u00e9r\u00e9es et utilis\u00e9es : finance, sant\u00e9, retail, logistique, etc.<\/span><\/li>\n<\/ul>\n<h2><b>Le data scientist dans l&rsquo;\u00e9cosyst\u00e8me de donn\u00e9es<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Les data scientists op\u00e8rent au sein d&rsquo;un \u00e9cosyst\u00e8me plus large de professionnels de la donn\u00e9e. Ils d\u00e9pendent g\u00e9n\u00e9ralement des data engineers pour construire les <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/pipeline-de-donnees\/\"><span style=\"font-weight: 400;\">pipelines<\/span><\/a><span style=\"font-weight: 400;\"> et les <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/data-lake\/\"><span style=\"font-weight: 400;\">data lakes<\/span><\/a><span style=\"font-weight: 400;\"> qui rendent les donn\u00e9es accessibles, et collaborent avec les <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/data-analyst\/\"><span style=\"font-weight: 400;\">data analysts<\/span><\/a><span style=\"font-weight: 400;\"> sur le reporting et l&rsquo;analytics descriptif.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ils consomment des donn\u00e9es depuis les <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/catalogue-de-donnees\/\"><span style=\"font-weight: 400;\">catalogues de donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\"> et les <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/data-marketplace\/\"><span style=\"font-weight: 400;\">data marketplaces<\/span><\/a><span style=\"font-weight: 400;\">, et s&rsquo;appuient sur des standards \u00e9lev\u00e9s de <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/qualite-de-la-donnee\/\"><span style=\"font-weight: 400;\">qualit\u00e9 des donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\"> pour s&rsquo;assurer que leurs mod\u00e8les sont entra\u00een\u00e9s sur des donn\u00e9es pr\u00e9cises et repr\u00e9sentatives.<\/span><\/p>\n<h2><b>Ce dont les data scientists ont besoin<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Pour \u00eatre productifs, les data scientists ont besoin que l&rsquo;infrastructure de donn\u00e9es de leur organisation offre :<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>D\u00e9couvrabilit\u00e9 : <\/b><span style=\"font-weight: 400;\">identification facile des jeux de donn\u00e9es pertinents via des <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/catalogue-de-donnees\/\"><span style=\"font-weight: 400;\">catalogues de donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\"> ou des <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/data-marketplace\/\"><span style=\"font-weight: 400;\">data marketplaces<\/span><\/a><span style=\"font-weight: 400;\"> internes.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Accessibilit\u00e9 : <\/b><span style=\"font-weight: 400;\">acc\u00e8s s\u00e9curis\u00e9 et gouvern\u00e9 aux <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/donnees-structurees-et-non-structurees\/\"><span style=\"font-weight: 400;\">donn\u00e9es structur\u00e9es et non structur\u00e9es<\/span><\/a><span style=\"font-weight: 400;\"> sans friction excessive.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Assurance qualit\u00e9 : <\/b><span style=\"font-weight: 400;\">documentation claire des m\u00e9triques de <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/qualite-de-la-donnee\/\"><span style=\"font-weight: 400;\">qualit\u00e9 des donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\">, du <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/data-lineage\/\"><span style=\"font-weight: 400;\">data lineage<\/span><\/a><span style=\"font-weight: 400;\"> et des limitations connues.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Outils de collaboration : <\/b><span style=\"font-weight: 400;\">environnements partag\u00e9s pour le suivi des exp\u00e9riences, la versioning des mod\u00e8les et la collaboration d&rsquo;\u00e9quipe.<\/span><\/li>\n<\/ul>\n<h2><b>Un r\u00f4le en mutation \u00e0 l&rsquo;\u00e8re de l&rsquo;IA<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">\u00c0 mesure que les capacit\u00e9s en <\/span><a href=\"https:\/\/www.huwise.com\/fr\/glossaire\/intelligence-artificielle-ia\/\"><span style=\"font-weight: 400;\">intelligence artificielle<\/span><\/a><span style=\"font-weight: 400;\"> \u00e9voluent, le r\u00f4le du data scientist se transforme : moins de temps sur le feature engineering de base (de plus en plus automatis\u00e9), plus de temps sur le cadrage de probl\u00e8mes, la gouvernance des mod\u00e8les et la conception \u00e9thique de l&rsquo;IA. L&rsquo;essor de l&rsquo;IA g\u00e9n\u00e9rative a \u00e9galement significativement \u00e9largi la bo\u00eete \u00e0 outils du data scientist, et les enjeux de gouvernance qu&rsquo;il doit prendre en compte.<\/span><\/p>\n<p>Pour en savoir plus, lire notre ebook : <span class=\"btn-secondary \"><a href=\"https:\/\/www.huwise.com\/fr\/ressources\/constituer-la-bonne-equipe-pour-delivrer-des-data-products-performants\/\">Constituer la bonne \u00e9quipe pour d\u00e9livrer des data products performants<\/a><\/span><\/p>\n","protected":false},"featured_media":0,"parent":0,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false},"tags":[],"letter":[377],"class_list":["post-40482","glossary","type-glossary","status-publish","hentry","letter-d-fr"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Scientist : r\u00f4les &amp; enjeux - Huwise<\/title>\n<meta name=\"description\" content=\"Un data scientist exploite statistiques, machine learning et code pour tirer des insights et pr\u00e9dictions de donn\u00e9es complexes.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.huwise.com\/fr\/glossaire\/data-scientist\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Scientist : r\u00f4les &amp; enjeux - 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