Data Science Intern (Analytics) 106039
Tencent
Data Science Intern (Analytics) 106039
Job Description
Data Science Intern (Analytics) 106039
📋 Job Overview
The Data Science Intern (Analytics) role at Tencent involves analyzing large-scale datasets to tackle complex challenges in the gaming industry using advanced techniques like machine learning, recommender systems, and generative AI. Interns will collaborate with product and engineering teams to create data-driven strategies and deliver actionable insights to stakeholders. The position is based in Amsterdam, Netherlands, and emphasizes innovation, technical sharing, and staying current with data science advancements.
📍 Location: Amsterdam, Netherlands
🏢 Business Unit: IEG
📄 Full Description
• Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
• Deliver actionable business insights to internal and external stakeholders.
• Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.
• Engage in technical knowledge sharing, documentation, and cross-team collaboration.
Work Location: Netherlands-Amsterdam
🎯 Key Responsibilities
- Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
- Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
- Deliver actionable business insights to internal and external stakeholders.
- Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.
- Engage in technical knowledge sharing, documentation, and cross-team collaboration.
🛠️ Required Skills
- Analytics
- Forecasting
- Machine learning
- Recommender systems
- Generative AI
- Experimentation
- Causal inference
- Econometrics
- Data-driven strategy development
- Collaboration with product and engineering teams
- Technical knowledge sharing and documentation
Locations
- Amsterdam, Netherlands
Salary
25,000 - 40,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Analyticsintermediate
- Forecastingintermediate
- Machine learningintermediate
- Recommender systemsintermediate
- Generative AIintermediate
- Experimentationintermediate
- Causal inferenceintermediate
- Econometricsintermediate
- Data-driven strategy developmentintermediate
- Collaboration with product and engineering teamsintermediate
- Technical knowledge sharing and documentationintermediate
Responsibilities
- Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
- Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
- Deliver actionable business insights to internal and external stakeholders.
- Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.
- Engage in technical knowledge sharing, documentation, and cross-team collaboration.
Tags & Categories
Answer 10 quick questions to check your fit for Data Science Intern (Analytics) 106039 @ Tencent.
Related Books and Jobs
Data Science Intern (Analytics) 106039
Tencent
Data Science Intern (Analytics) 106039
Job Description
Data Science Intern (Analytics) 106039
📋 Job Overview
The Data Science Intern (Analytics) role at Tencent involves analyzing large-scale datasets to tackle complex challenges in the gaming industry using advanced techniques like machine learning, recommender systems, and generative AI. Interns will collaborate with product and engineering teams to create data-driven strategies and deliver actionable insights to stakeholders. The position is based in Amsterdam, Netherlands, and emphasizes innovation, technical sharing, and staying current with data science advancements.
📍 Location: Amsterdam, Netherlands
🏢 Business Unit: IEG
📄 Full Description
• Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
• Deliver actionable business insights to internal and external stakeholders.
• Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.
• Engage in technical knowledge sharing, documentation, and cross-team collaboration.
Work Location: Netherlands-Amsterdam
🎯 Key Responsibilities
- Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
- Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
- Deliver actionable business insights to internal and external stakeholders.
- Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.
- Engage in technical knowledge sharing, documentation, and cross-team collaboration.
🛠️ Required Skills
- Analytics
- Forecasting
- Machine learning
- Recommender systems
- Generative AI
- Experimentation
- Causal inference
- Econometrics
- Data-driven strategy development
- Collaboration with product and engineering teams
- Technical knowledge sharing and documentation
Locations
- Amsterdam, Netherlands
Salary
25,000 - 40,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Analyticsintermediate
- Forecastingintermediate
- Machine learningintermediate
- Recommender systemsintermediate
- Generative AIintermediate
- Experimentationintermediate
- Causal inferenceintermediate
- Econometricsintermediate
- Data-driven strategy developmentintermediate
- Collaboration with product and engineering teamsintermediate
- Technical knowledge sharing and documentationintermediate
Responsibilities
- Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
- Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
- Deliver actionable business insights to internal and external stakeholders.
- Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.
- Engage in technical knowledge sharing, documentation, and cross-team collaboration.
Tags & Categories
Answer 10 quick questions to check your fit for Data Science Intern (Analytics) 106039 @ Tencent.
Related Books and Jobs