Remote Data Scientist Jobs in Italy

10 Data Scientist jobs in Italy available for remote work from home. Apply for positions such as Binance Accelerator Program - Data Scientist (Recommendation/Square Community), Data Scientist (Search & Recommendation), Senior Data Scientist, Ecosystems and more! Discover the best work-from-home or hybrid, full- and part-time jobs.

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Remote Data Scientist Jobs in Italy (10)

Search = Data Scientist Remote in = Italy
Binance is hiring for remote Binance Accelerator Program - Data Scientist (Recommendation/Square Community)
🌎 China, Italy, Taiwan ⭐ 0-2 yrs exp πŸ’Ό Software Development Data Scientist
Develop next-generation recommendation and community intelligence systems for Binance Square to improve content distribution and user engagement. This includes analyzing user behavior, designing recommendation strategies, and exploring the application of LLMs for personalized distribution.
Wikimedia Foundation is hiring for remote Senior Data Scientist, Ecosystems

Senior Data Scientist, Ecosystems

Wikimedia Foundation · Full Time · 5 Weeks Ago
Wikimedia Foundation
🌎 Brazil, Canada, Colombia, France, Georgia, Germany, Ghana, India, Indonesia, Italy, Kenya, Mexico, Morocco, Netherlands, Poland, Singapore, United States πŸ’΅ $106K - $167K per year ⭐ 5-10 yrs exp πŸ’Ό Software Development Data Scientist
The role involves integrating fragmented internal and external data to create a unified view of user discovery and content usage. You will develop automated systems to detect content gaps and establish metrics to track content utilization within LLMs and generative search engines.

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Binance is hiring for remote Binance Accelerator Program - Search & Recommendation Data scientist
🌎 China, Italy, Taiwan ⭐ 0-2 yrs exp πŸ’Ό Software Development Data Scientist
Assist senior algorithm engineers in designing and maintaining search and recommendation services and models for content scenarios, focusing on optimizing content matching accuracy and distribution efficiency using machine learning methods. Participate in the development and implementation of core content recommendation modules to improve user experience and core business metrics.

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