ML Intern: Build Data-Driven Gaming AI & Pipelines

Tencent

Palo Alto (CA)

On-site

USD 39,000 - 83,000

Full time

14 days+
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Benefits offered by this job

Paid sick leave
13 paid holidays
Company medical plan

Job summary

Tencent in Palo Alto seeks a data scientist to analyze large gaming datasets and deliver actionable insights. You will partner with product and engineering teams to craft data-driven strategies and build scalable data pipelines.

Applicants should hold an MS or PhD in a quantitative field, be proficient in Python and SQL, and have hands-on experience with statistical analysis, ML systems, and A/B testing. A passion for games is a plus.

Qualifications

  • MS/PhD in a quantitative field (Statistics, Math, Economics, CS, ML)
  • Strong Python and SQL
  • Experience with statistical analysis and predictive modeling
  • Hands-on ML systems on large datasets
  • Proficiency in evaluating experiments (A/B) and causal inference

Responsibilities

  • Analyze large-scale gaming datasets to drive analytics, forecasting, ML models, recommender systems, and experimentation.
  • Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that create business value.
  • Deliver actionable business insights to internal and external stakeholders.
  • Develop and maintain robust data pipelines (web scraping, API ingestion, data wrangling) for competitive intelligence and player/community data.
  • Stay updated with AI/LLM advancements and apply them to gaming applications.
  • Engage in cross-team knowledge sharing and documentation.

Skills

Python
SQL
Statistical analysis
A/B testing
ML systems
Time series analysis

Education

MS/PhD in Statistics/Math/CS/Economics/ML

Job description

Tencent in Palo Alto seeks a data scientist to analyze large gaming datasets and deliver actionable insights. You will partner with product and engineering teams to craft data-driven strategies and build scalable data pipelines.

Applicants should hold an MS or PhD in a quantitative field, be proficient in Python and SQL, and have hands-on experience with statistical analysis, ML systems, and A/B testing. A passion for games is a plus.

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