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Data Scientist

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Tencent

Aug 15, 2024

  • Job
    Full-time
    Senior Level
  • Amsterdam
  • Quick Apply

AI generated summary

  • You should have a master’s or Ph.D. in a quantitative field, expertise in machine learning or NLP, real-world analytics experience, and proficiency in SQL and Python.
  • You will apply machine learning to solve problems, create automated data processes, analyze large datasets, develop models, and provide actionable insights for cross-functional teams.

Requirements

  • Graduated with a master’s or Ph.D. program in a quantitative discipline such as statistics, machine learning, computer science, math, economics, etc.
  • Expertise in one or more of the following areas: machine learning & statistical learning, deep learning, reinforcement learning, statistical analysis, experimentation, NLP, computer vision, recommendation system, and any other data science-related domains.
  • Experience utilizing analytics, inference, experimentation, or machine learning techniques in real-world applications is preferred.
  • Excellent knowledge of data science methods and best practices, such as data analysis and visualization, supervised learning, unsupervised learning, and time series.
  • Proficient in SQL and Python.

Responsibilities

  • We are hiring a senior data scientist for the machine learning and advanced analytics DS team.
  • Apply machine learning and advanced analytic methods to solve challenging problems and deliver scalable game solutions in development, publishing, and live operations.
  • Establish scalable, efficient, automated processes and provide end-to-end data solutions with large-scale data analysis, experimentation, machine learning/deep learning/reinforcement learning model development, validation, and serving.
  • Interact cross-functionally with various teams and provide actionable business insights for stakeholders.

FAQs

What is the main responsibility of the Data Scientist role?

The main responsibility of the Data Scientist role is to apply machine learning and advanced analytic methods to solve challenging problems and deliver scalable game solutions in development, publishing, and live operations.

What qualifications are required for this position?

Candidates must have graduated with a master’s or Ph.D. in a quantitative discipline such as statistics, machine learning, computer science, math, or economics.

What kind of expertise should a candidate have?

A candidate should have expertise in one or more areas including machine learning & statistical learning, deep learning, reinforcement learning, statistical analysis, experimentation, NLP, computer vision, recommendation systems, and other data science-related domains.

Is experience in real-world applications important for this role?

Yes, experience utilizing analytics, inference, experimentation, or machine learning techniques in real-world applications is preferred.

What are some key knowledge areas required for this position?

Excellent knowledge of data science methods and best practices, including data analysis and visualization, supervised learning, unsupervised learning, and time series, is required.

Which programming languages and tools should candidates be proficient in?

Candidates should be proficient in SQL and Python.

Will the Data Scientist need to work with other teams?

Yes, the Data Scientist will need to interact cross-functionally with various teams and provide actionable business insights for stakeholders.

What are the specific machine learning techniques mentioned in the job description?

The job description mentions techniques such as deep learning, reinforcement learning, statistical analysis, and experimentation, among others.

What type of problems will the Data Scientist be solving?

The Data Scientist will be solving challenging problems related to game solutions in the areas of development, publishing, and live operations.

Is operational automation part of the job responsibilities?

Yes, the role involves establishing scalable, efficient, automated processes and providing end-to-end data solutions.

Enriching the lives of Internet users through technology

Technology
Industry
10,001+
Employees
1998
Founded Year

Mission & Purpose

Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.