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Data Science Intern

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Tencent

20d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Palo Alto
  • Quick Apply

AI generated summary

  • You should be pursuing an M.S. or Ph.D. in a quantitative field, have statistical analysis experience, Python and SQL skills, and a passion for gaming.
  • You will analyze datasets to address gaming challenges, collaborate with teams for data-driven strategies, deliver insights, stay updated on tech advancements, and participate in knowledge sharing.

Requirements

  • Pursuing a M.S., or Ph.D. degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, etc.
  • Experience in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, A/B experiments, etc.).
  • Experience with building complex data products and machine learning systems on large datasets preferred.
  • Proficient in Python and SQL.
  • Excellent communication, collaboration, execution capabilities, and keen business acumen.
  • Passionate about games and the gaming industry.

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.

FAQs

What is the scope of responsibilities for the Data Science Intern role?

The responsibilities include analyzing large-scale datasets, collaborating with product and engineering teams, delivering actionable business insights, staying updated with advancements in data science, and engaging in technical knowledge sharing and cross-team collaboration.

What educational qualifications are required for this internship?

Candidates should be pursuing a M.S. or Ph.D. degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, or Machine Learning.

What skills are preferred for this internship?

Preferred skills include experience in statistical analysis, building complex data products and machine learning systems, proficiency in Python and SQL, and excellent communication and collaboration abilities.

Is experience in the gaming industry required for this internship?

While not explicitly required, a passion for games and the gaming industry is highly valued.

Will interns have opportunities to work on collaborative projects?

Yes, interns will collaborate with product and engineering teams to develop data-driven strategies and implement solutions.

What are the essential tools and technologies used in this role?

Essential tools and technologies include statistical analysis methods, machine learning techniques, Python, and SQL.

Are there opportunities for knowledge sharing and documentation?

Yes, engaging in technical knowledge sharing and documentation is part of the internship responsibilities.

What does the hiring team value in candidates?

The hiring team values diverse perspectives, innovation, and a collaborative approach to achieve both individual and common goals.

Is the internship position an equal opportunity opportunity?

Yes, Tencent is committed to providing equal employment opportunities and fostering an inclusive environment for all employees.

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Tencent

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.