Gaming Data Science Intern: ML, Data & Insights

Tencent

Palo Alto (CA)

Vor Ort

USD 39.000 - 83.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Paid sick leave
Paid holidays
Medical plan eligibility

Zusammenfassung

Tencent’s Level Infinite is seeking a data analytics intern to derive data-driven insights for gaming products and operations. You will build Python/SQL workflows, develop scalable data analyses, AB tests, and ML models to support decisions across R&D, marketing, and live operations.

Join a global gaming brand under Tencent, with opportunities to work with diverse teams, leverage Tableau/P reset BI tools, and contribute to high-impact projects in a fast-paced environment in Palo Alto.

Qualifikationen

  • Master's or PhD in computer science, machine learning, or math/statistics is required or a strong candidate.
  • Proficiency in Python and SQL with experience in data analysis.
  • Strong statistical and machine learning knowledge for data-driven decision making.
  • Experience with BI tools like Tableau or Preset is a plus.

Aufgaben

  • Collect, analyze, and interpret data to provide insights for business problems in gaming.
  • Develop computational workflows using Python, SQL, and big data tools; create reports with BI tools.
  • Model and build scalable data analysis, AB testing, and ML workflows.
  • Collaborate with PMs and data engineers to implement end-to-end data solutions.

Kenntnisse

Python
SQL
Statistics
Machine learning

Ausbildung

Master's or PhD in CS/ML/Math

Tools

Tableau
Preset

Jobbeschreibung

Tencent’s Level Infinite is seeking a data analytics intern to derive data-driven insights for gaming products and operations. You will build Python/SQL workflows, develop scalable data analyses, AB tests, and ML models to support decisions across R&D, marketing, and live operations.

Join a global gaming brand under Tencent, with opportunities to work with diverse teams, leverage Tableau/P reset BI tools, and contribute to high-impact projects in a fast-paced environment in Palo Alto.

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