MANAGER (Lead) DATA SCIENTIST

hace 5 días

Madrid, España NTT DATA Europe & Latam A tiempo completo

Job description: NTT DATA is seeking a passionate Manager Data Scientist to bridge the gap between pure commercial business needs and cutting-edge analytical engines, establishing a connection between business areas and our team of data scientists. We're looking for an artificial intelligence expert to drive data-driven business strategies. If you have experience in sectors such as automotive, life sciences, retail, FMCG, manufacturing, or services, we want you to join our innovative teamDescubra exactamente qué habilidades, experiencia y cualificaciones necesitará para tener éxito en este puesto antes de enviar su solicitud a continuación. Qualifications: Bachelor's or master's degree in mathematics, Statistics, Informatics Engineering, Economics, or Physics. Courses in Artificial Intelligence, Analytics, Big Data, or similar fields are a plus. Experience: A minimum of 5 years of experience in Advanced Analytics and Data Science related to the industry sector (automotive, life sciences, retail, FMCG, manufacturing or services) Responsibilities: Serve as the link between business users' needs and the design of innovative AI models that transform the industry. Apply state-of-the-art Machine Learning, Deep Learning, Reinforcement Learning... techniques to solve real-world problems. Coordinate and lead teams of brilliant data scientists, managing cutting-edge, successful projects. Collaborate in the design of the area's value proposition. Build multidisciplinary relationships between business and technology, fostering growth and collaboration. Skills: Required: Advanced Machine Learning and Analytics techniques, utilizing state-of-the-art artificial intelligence solutions. Expert knowledge in Python. SQL and relational databases to fully leverage information. Agile project and team management, applying effective methodologies. Visualization and communication with clients, mastering tools such as PowerBI, Tableau, Dash, Streamlit, etc. Valuable: In-depth knowledge of metaheuristic and other areas of optimization Text Analytics, Deep Learning, Process Mining to extract maximum value from data. Big Data technologies: Spark, Hadoop, Impala, etc. Desired specializations: FMCG Retail Life Science (pharm, agribusiness) HTTL (Hotels, Tourism, Transport, and Leisure) Automotive Manufacturing Services and infrastructure Join our dynamic and passionate team at a leading technology and services company xohynlm Send in your application and start making your mark on the future of the industry today

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