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Position: Senior Data Scientist - Commercial Excellence (m/f/d)
Institution: Buynomics
Location: Köln, Nordrhein‐Westfalen, Germany
Duties: Create solutions that map clients into the buynomics framework using data science, building on a deep understanding of modern revenue management, our clients' questions and the buynomics framework and core algorithms; Participate in the R&D of processes and features that allow us to create value from data in a highly automatic fashion using statistics and machine learning (e.g., developing clustering and prediction algorithms, statistical model evaluation metrics, prototyping approaches to new industries, and more); Assist with high-priority operational requests that may involve quick data analyses or scripting
Requirements: Completed master’s degree in the field of economics, mathematics, computer science, engineering, or a related quantitative area from a leading university, with a sound knowledge of modern statistics and at least basic knowledge of machine learning; 2+ years of experience in leveraging data science to create value from data, either in a commercial or an academic setting; Intermediate knowledge of Python. Any deeper programming knowledge is a plus
   
Text: Senior Data Scientist - Commercial Excellence (m/f/d) Create solutions that map clients into the buynomics framework using data science, building on a deep understanding of modern revenue management, our clients' questions and the buynomics framework and core algorithms; Participate in the R&D of processes and features that allow us to create value from data in a highly automatic fashion using statistics and machine learning (e.g., developing clustering and prediction algorithms, statistical model evaluation metrics, prototyping approaches to new industries, and more); Assist with high-priority operational requests that may involve quick data analyses or scripting Completed master’s degree in the field of economics, mathematics, computer science, engineering, or a related quantitative area from a leading university, with a sound knowledge of modern statistics and at least basic knowledge of machine learning; 2+ years of experience in leveraging data science to create value from data, either in a commercial or an academic setting; Intermediate knowledge of Python. Any deeper programming knowledge is a plus
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