Key Responsibilities: Development of application software for tools for our banknote processing systems Playing an active, responsible, self-organized developer role in a cross-site agile Scrum team Driving software design, implementation and testing with high quality that the team achievesits goals Ensuring the evolution of our software platform and products Contributing to continuous application modernization Passionate about IT and software
Key Responsibilities: Development of application software for tools for our banknote processing systems Playing an active, responsible, self-organized developer role in a cross-site agile Scrum team Driving software design, implementation and testing with high quality that the team achievesits goals Ensuring the evolution of our software platform and products Contributing to continuous application modernization Passionate about IT and software
Experience: A minimum of 14 years of professional experience in data science, machinelearning, and advanced analytics. Educational Background: A Master's or Ph.D. in Computer Science, Statistics,Mathematics, Engineering, or a related quantitative field is strongly preferred. Technical Proficiency:o Expert-level knowledge of statistical methods, machine learning algorithms (e.g.,regression, classification, clustering, time-series forecasting), and deep
Experience: A minimum of 14 years of professional experience in data science, machinelearning, and advanced analytics. Educational Background: A Master's or Ph.D. in Computer Science, Statistics,Mathematics, Engineering, or a related quantitative field is strongly preferred. Technical Proficiency:o Expert-level knowledge of statistical methods, machine learning algorithms (e.g.,regression, classification, clustering, time-series forecasting), and deep
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