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Manager (lead) data scientist

NTT DATA Europe & Latam
Data Scientist
Publiée le 17 décembre
Description de l'offre

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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