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Senior Data Scientist

7 meses atrás

Lisbon, Portugal Richemont Tempo inteiro
CONTEXT

Richemont owns some of the world’s leading luxury goods Maisons, with strengths in jewellery, fine watches & premium accessories, including Cartier, Van Cleef & Arpels, Montblanc, Roger Dubuis, Vacheron Constantin, etc.

Richemont has a strong ambition to transform its business model towards New Retail. Part of this transformation is the Group Data Office that, among others, delivers Analytics & Data Science projects for the different Maisons.

The Analytics & Data Science team, belonging to “Group Data Office”, supports this vision by developing analytics and data science use cases, defining best practices across the group, and industrializing analytics & data science solutions. This team is recruiting a Senior Data Scientist to work under the Lead Data Scientist.

Responsibilities 

Design & develop complex ML-driven approaches to resolve business problems​. Gather requirements and effectively communicate developed solution to the Business. Partner with Machine Learning Engineers, Analytics Engineers & IT to deliver solutions.

Academic Background 

Graduate in Master program in Engineering, Data Science, Computer Science, Mathematics, or related fields.

Skills & Experience 

Proficient in Python programming language & data-related libraries (6 years +) Extensive experience in Data Science & Machine Learning (6 years +) in a large variety of topics Good knowledge in Statistics & SQL Professional experience in Google Cloud Platform or other cloud platform (2 years +) Experience in Vertex AI is a plus Experience in Git + Agile Development is a plus.

Desired Personal Skills 

Autonomous, proactive & curious with a strong sense of ownership Proficiency in English is a must: Strong communication skills, ability to explain complex topics to top-level management. Quick-learner, able to comprehend & resolve complex problems. Pragmatic mindset to problem solving, and an ability to think critically and objectively. Ease to collaborate in multicultural and multifunctional environments.