{"id":2292,"date":"2021-11-02T22:11:56","date_gmt":"2021-11-02T22:11:56","guid":{"rendered":"https:\/\/wwww.msd.cz\/en\/?page_id=2292"},"modified":"2021-12-16T14:05:14","modified_gmt":"2021-12-16T14:05:14","slug":"data-science","status":"publish","type":"page","link":"https:\/\/www.msd.cz\/en\/it\/data-science\/","title":{"rendered":"Data Science"},"content":{"rendered":"<div id=\"mco-title-block-block_6181a2f9d2ac9\" \n\t class=\"mco-title-block mccberg-block has-background full negative\" \n\t style='background-image: url(https:\/\/www.msd.cz\/en\/wp-content\/uploads\/sites\/98\/2021\/11\/it_header_pic_datascience-1.png?w=1600);'\t >\n\t<div class=\"wrapper\">\n\t\t<div class=\"mco-title-block-content\">\n\t\t\t\n\t\t\t<h2 class=\"mco-title-block-title\"> <\/h2>\n\n\t\t\t\t\t\t\t<p class=\"mco-title-block-description\"><div id=\"page-wrapper\" class=\"mrk-clearfix\">\n<div class=\"mrk-grid mrk-clearfix global-wrapper\">\n<div id=\"middle\">\n<div id=\"j_id_ta\" class=\"mrk-section mrk-clearfix \">\n<div class=\"SiteEditCP\">\n<section class=\"header it it-01 hide-on-med-and-down\" role=\"main\">\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col m7 s12\">\n<div id=\"page-wrapper\" class=\"mrk-clearfix\">\n<div class=\"mrk-grid mrk-clearfix global-wrapper\">\n<div id=\"middle\">\n<div id=\"j_id_ta\" class=\"mrk-section mrk-clearfix \">\n<div class=\"SiteEditCP\">\n<section class=\"header it it-01 hide-on-med-and-down\" role=\"main\">\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col m7 s12\">\n<div id=\"page-wrapper\" class=\"mrk-clearfix\">\n<div class=\"mrk-grid mrk-clearfix global-wrapper\">\n<div id=\"middle\">\n<div id=\"j_id_ta\" class=\"mrk-section mrk-clearfix \">\n<div class=\"SiteEditCP\">\n<section class=\"header it it-01 hide-on-med-and-down\" role=\"main\">\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col m7 s12\">\n<h2 class=\"my-3\"><span style=\"color: #333333\">Data Science<\/span><\/h2>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div id=\"page-wrapper\" class=\"mrk-clearfix\">\n<div class=\"mrk-grid mrk-clearfix global-wrapper\">\n<div id=\"middle\">\n<div id=\"j_id_ta\" class=\"mrk-section mrk-clearfix \">\n<div class=\"SiteEditCP\">\n<section class=\"header it it-01 hide-on-med-and-down\" role=\"main\">\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col m7 s12\">\n<div id=\"page-wrapper\" class=\"mrk-clearfix\">\n<div class=\"mrk-grid mrk-clearfix global-wrapper\">\n<div id=\"middle\">\n<div id=\"j_id_ta\" class=\"mrk-section mrk-clearfix \">\n<div class=\"SiteEditCP\">\n<section class=\"header it it-01 hide-on-med-and-down\" role=\"main\">\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col m7 s12\">\n<h3 class=\"mt-0 mb-3\"><span style=\"color: #008080\">Turning data into gold<\/span><\/h3>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/p>\n\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<h4 class=\"wp-block-heading\">Our Prague data science group consists of an Advanced Analytics as well as a Data Management and Visualization team. We\u2019re part of a larger global team that includes colleagues in the U.S. and Singapore who work closely with us. This multinational team has experienced data scientists working full-time, as well as student interns.<\/h4>\n\n\n\n<p>The diverse capabilities of our team are used for projects throughout our business in manufacturing, finance, research, human and animal health. We partner with internal clients to clients to analyze internal and external datasets that provide insights and data science tools.<\/p>\n\n\n\n<p>Our Advanced Analytics team uses R, Python, Spark, Matlab, and SAS to perform statistical modeling, econometrics, machine learning, natural language processing, simulations, optimizations, and computational fluid dynamics.<\/p>\n\n\n\n<p>The Data Management and Visualization team uses Tibco Spotfire, Tableau, Microsoft SQL Server, Oracle, Teradata, Pipeline pilot, Informatica, AWS, and IBM Cognos to map, model, and transform data into reports.<\/p>\n\n\n\n<p>Our DevOps stack that includes Confluence, Jira, Bitbucket, and Jenkins is used by both teams for collaboration and automation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Our colleagues come from more than 10 countries and have a lot of experience from different European countries:<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li>Charles University, Czech Republic<\/li><li>Czech Technical University, Prague, Czech Republic<\/li><li>Center for Economic Research and Graduate Education, Prague, Czech Republic<\/li><li>University of Chemistry and Technology, Czech Republic<\/li><li>University of Economics in Prague, Czech Republic<\/li><li>Palacky University Olomouc, Czech Republic<\/li><li>Vilnius University, Lithuania<\/li><li>University of Thesaly, Volos, Greece<\/li><li>University of Cambridge, UK<\/li><li>Universite Paris Descartes, France<\/li><li>EPF Graduate School of Engineering, Sceaux, France<\/li><li>University of Amsterdam, Netherlands<\/li><\/ul>\n\n\n<link rel='stylesheet' id='mccberg-related-links-module-css-css' href='https:\/\/www.msd.cz\/en\/wp-content\/themes\/cex-wpvip-mhh-mhh2-mcc-theme\/blocks\/mccberg\/related-links\/css\/style.min.css?ver=1767614750' media='all' \/>\n\n<div class=\"mccberg-block wp-block-mccberg-related-links mccberg-related-link\"><div class=\"coporateberg-related-link-header-container\"><h2 class=\"mccberg-related-link-header\">Our Projects<\/h2><p class=\"mccberg-related-link-description\">Most of our projects are confidential and cannot be publicly disclosed. However we can share the following project examples that have been published in articles, open source libraries, and won awards.<\/p><p class=\"mccberg-related-link-cta\"><a class=\"btn\"><\/a><\/p><\/div><div class=\"mccberg-related-link-content-container\"><div class=\"mccberg-related-link-container-wrapper\"><div class=\"mccberg-related-link-container first-link\"><h4>Mining genome with deep learning techniques for biosynthetic gene cluster prediction<\/h4><i class=\"mccberg-related-link-closed\"><\/i><i class=\"mccberg-related-link-opened\"><\/i><\/div><div class=\"mccberg-related-link-expanded\"><picture><source media=\"(max-width: 767px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=321,214\"\/><source media=\"(min-width: 768px) and (max-width: 1279px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=656,437\"\/><source media=\"(min-width: 1280px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\"\/><img data-src=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\" class=\"mccberg-related-link-link-image lazyload\" loading=\"lazy\" alt=\"Mining genome with deep learning techniques for biosynthetic gene cluster prediction\"\/><\/picture><h4><\/h4><p>We\u2019re utilizing deep learning and natural language processing strategies to improve identification of Biosynthetic Gene Clusters in bacterial genomes. <\/p><p><a class=\"btn secondary\" href=\"https:\/\/academic.oup.com\/nar\/advance-article\/doi\/10.1093\/nar\/gkz654\/5545735\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">For more information please see here.<\/a><\/p><\/div><\/div><div class=\"mccberg-related-link-container-wrapper\"><div class=\"mccberg-related-link-container \"><h4>Heemod R package contributions to help model economic health <\/h4><i class=\"mccberg-related-link-closed\"><\/i><i class=\"mccberg-related-link-opened\"><\/i><\/div><div class=\"mccberg-related-link-expanded\"><picture><source media=\"(max-width: 767px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=321,214\"\/><source media=\"(min-width: 768px) and (max-width: 1279px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=656,437\"\/><source media=\"(min-width: 1280px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\"\/><img data-src=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\" class=\"mccberg-related-link-link-image lazyload\" loading=\"lazy\" alt=\"Heemod R package contributions to help model economic health \"\/><\/picture><h4><\/h4><p>We contribute to Markov Models for Health Economic Evaluations. <\/p><p><a class=\"btn secondary\" href=\"https:\/\/cran.r-project.org\/web\/packages\/heemod\/index.html\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">For more information please see here.<\/a><\/p><\/div><\/div><div class=\"mccberg-related-link-container-wrapper\"><div class=\"mccberg-related-link-container \"><h4>Development of R package Rspc<\/h4><i class=\"mccberg-related-link-closed\"><\/i><i class=\"mccberg-related-link-opened\"><\/i><\/div><div class=\"mccberg-related-link-expanded\"><picture><source media=\"(max-width: 767px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=321,214\"\/><source media=\"(min-width: 768px) and (max-width: 1279px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=656,437\"\/><source media=\"(min-width: 1280px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\"\/><img data-src=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\" class=\"mccberg-related-link-link-image lazyload\" loading=\"lazy\" alt=\"Development of R package Rspc\"\/><\/picture><h4><\/h4><p>We used R to implement and deploy the Nelson rules for control charts.<\/p><p><a class=\"btn secondary\" href=\"https:\/\/cran.r-project.org\/web\/packages\/Rspc\/index.html\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">For more information please see here.<\/a><\/p><\/div><\/div><div class=\"mccberg-related-link-container-wrapper\"><div class=\"mccberg-related-link-container \"><h4> Turnaround Advanced Logic Planning Support<\/h4><i class=\"mccberg-related-link-closed\"><\/i><i class=\"mccberg-related-link-opened\"><\/i><\/div><div class=\"mccberg-related-link-expanded\"><picture><source media=\"(max-width: 767px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=321,214\"\/><source media=\"(min-width: 768px) and (max-width: 1279px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=656,437\"\/><source media=\"(min-width: 1280px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\"\/><img data-src=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\" class=\"mccberg-related-link-link-image lazyload\" loading=\"lazy\" alt=\" Turnaround Advanced Logic Planning Support\"\/><\/picture><h4><\/h4><p>ALPS is an award-winning algorithm that assesses processes, tasks, and constraints to create an optimized schedule for manufacturing. It\u2019s been deployed at production facilities around the world and it\u2019s trophy case includes the Frost &amp; Sullivan 2017 Manufacturing Leadership Award &#8211; Advanced Analytics Leadership, and MSD Manufacturing Div<\/p><p><a class=\"btn secondary\" href=\"https:\/\/www.prnewswire.com\/news-releases\/2017-manufacturing-leadership-awards-winners-announced-300416125.html\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">For more information please see here.<\/a><\/p><\/div><\/div><div class=\"mccberg-related-link-container-wrapper\"><div class=\"mccberg-related-link-container \"><h4>PODBA \u2013 an algorithm tailored to evaluate vaccine efficacy<\/h4><i class=\"mccberg-related-link-closed\"><\/i><i class=\"mccberg-related-link-opened\"><\/i><\/div><div class=\"mccberg-related-link-expanded\"><picture><source media=\"(max-width: 767px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=321,214\"\/><source media=\"(min-width: 768px) and (max-width: 1279px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=656,437\"\/><source media=\"(min-width: 1280px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\"\/><img data-src=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\" class=\"mccberg-related-link-link-image lazyload\" loading=\"lazy\" alt=\"PODBA \u2013 an algorithm tailored to evaluate vaccine efficacy\"\/><\/picture><h4><\/h4><p>This new method for evaluating vaccine efficacy analyzes the relationship of antibody titer values based on subjects with, and without, disease to estimate the probability of disease occuring.The relationship between titer values of the control and vaccine groups are used to estimate vaccine efficacy and the corresponding confidence inter<\/p><p><a class=\"btn secondary\" href=\"https:\/\/www.page-meeting.org\/default.asp?abstract=9232\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">For more information please see here.<\/a><\/p><\/div><\/div><\/div><div class=\"mccberg-related-link-image-container\"><picture><source media=\"(max-width: 767px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=321,214\"\/><source media=\"(min-width: 768px) and (max-width: 1279px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=656,437\"\/><source media=\"(min-width: 1280px)\" data-srcset=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\"\/><img data-src=\"https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png?resize=778,519\" class=\"mccberg-related-link-image\" alt=\"Mining genome with deep learning techniques for biosynthetic gene cluster prediction\"\/><\/picture><span class=\"mccberg-general-image-url\">https:\/\/wwww.msd.cz\/en\/wp-content\/uploads\/sites\/62\/2021\/11\/free.png<\/span><\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Data Management and Visualization<\/h3>\n\n\n\n<p>Here are a few examples of the types of projects our team works on:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Cross-team data analytics project<\/strong><\/h4>\n\n\n\n<p>Multi-year analytics initiatives usually require several IT teams to collaborate. Collaborating with our global teams on these large projects also provides great opportunities to get hands on experience working with enterprise technologies and complex BI architectures.<\/p>\n\n\n\n<p>We contribute to the following activities:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Analyzing business needs, data requirements, and data sources<\/li><li>Modelling data: database design, and defining database layer mapping<\/li><li>Developing reports: creating dashboards and visualizations using the latest reporting technologies<\/li><\/ul>\n\n\n\n<p>Examples:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Automated forecasting platform for global finance released in three top markets<\/li><li>Data platform with an analytical application package on top of it to provide deeper and better insights into the vaccines market<\/li><li>Single integrated data warehouse for IT infrastructure reporting with front end dashboards<\/li><\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Collaboration with internal teams<\/strong><\/h4>\n\n\n\n<p>We created an extension for the BI tool, Spotfire, that generates the required project documentation automatically with a single click. This significantly reduces the amount of time spent on producing the process documentation required for BI projects.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Medium &amp; Small Size Reporting Project<\/strong><\/h4>\n\n\n\n<p>Delivering one or more dashboards with the provided data sources usually only takes one or two colleagues from our team. These projects are typically finished within a few months or less.<\/p>\n\n\n\n<p>Achieving these results involves the following activities:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Collaborating with business stakeholders to analyze their needs<\/li><li>Developing and designing reports, then iterate on them with business stakeholders<\/li><li>Defining small ETL transactions within the dashboard itself<\/li><\/ul>\n\n\n\n<p>Smaller projects usually offer the freedom to design and influence final products as well as the project itself. Some small projects have even exceeded expectations enough to evolve into more complex efforts that require more data sources, complex transformations, and advanced analytical models.<\/p>\n\n\n\n<p>Examples of small dashboards:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Description of individual manufacturing steps and time variations &nbsp;for each of those steps. Identifying high impact opportunities for production process improvement are planned for the future.<\/li><li>Description of the &nbsp;cybersecurity risk associated with each company system<\/li><li>Comparison of sales performance against competitors<\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Our Prague data science group consists of an Advanced Analytics as well as a Data Management and Visualization team. We\u2019re part of a larger global team that includes colleagues in the U.S. and Singapore who work closely with us. This multinational team has experienced data scientists working full-time, as well as student interns. The diverse [&hellip;]<\/p>\n","protected":false},"author":545,"featured_media":0,"parent":1755,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"bdl_company_name":[],"bdl_item_external_link":[],"editor_notices":[],"footnotes":""},"class_list":["post-2292","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.9.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Science - MSD Czech Republic<\/title>\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.msd.cz\/en\/it\/data-science\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science - MSD Czech Republic\" \/>\n<meta property=\"og:description\" content=\"Our Prague data science group consists of an Advanced Analytics as well as a Data Management and Visualization team. 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