Logo of Huzzle

Internship

Data Science Intern - Palo Alto

Logo of Tencent

Tencent

9d ago

🚀 Off-cycle Internship

Palo Alto

AI generated summary

  • You are expected to have a master's or PHD in relevant field, internship experience, passion for data-driven decision-making, profound insights into gaming industry, expertise in mathematical modeling, statistical analysis, machine learning, and proficiency in Python, SQL, or related languages.
  • You will collect, analyze, and interpret data to provide insights & solutions for gaming industry problems using Python, SQL, BI tools, and collaborate with cross-functional teams to implement data solutions.

Off-cycle Internship

DataPalo Alto

Description

  • Tencent is a world-leading internet and technology company focused on using innovation to enhance people's lives worldwide. Established in 1998 and headquartered in Shenzhen, China, we are committed to harnessing technology for positive impact.

Requirements

  • A master's degree or PHD in computer science, machine learning, or math/statistics, relevant internship experience is a plus
  • A passion for applying mathematical models and computer science technology to data-driven decision-making, along with profound insights into the gaming industry.
  • Expertise in mathematical modeling, statistical analysis, and machine learning, including statistics, machine learning, AB testing, etc.
  • Proficiency in programming languages such as Python, SQL, or related languages.

Education requirements

Masters
PhD

Area of Responsibilities

Data

Responsibilities

  • Collecting, analyzing, and interpreting data to provide data-driven insights and solutions for business problems in the gaming industry, including various analysis and modeling scenarios in the stages of R&D, marketing, and operation.
  • Developing computational workflows based on Python, SQL, and big data tools to handle and analyze large complex datasets; Utilizing BI tools like Preset/Tableau to develop data reports and support data insights and business analysis.
  • Modeling and developing scalable, efficient, automated data analysis, AB testing, machine learning, validation, and service frameworks.
  • Collaborating with product managers and data engineers to design and implement end-to-end data solutions for issues in game development, publishing, and operation.

Details

Work type

Full time

Work mode

office

Location

Palo Alto