MANAGER (Lead) DATA SCIENTIST

hace 2 semanas

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 team

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

Send in your application and start making your mark on the future of the industry today

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