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数据科学实习生 - 2027年入职

雇主

TikTok

地点

California · San Jose · 美国

待遇

$面议

工作模式

线下

截止日期

1月8日

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岗位摘要

Data Science Intern to analyze complex datasets, design experiments, and drive data-driven decision-

岗位职责

We're the TikTok Monetization Products Data Science team, enabling and championing data-driven decision-making.
Our vision is to become a world-class data science team where data is used rigorously to drive all decision-making.
Our mission is to drive monetization and sustainable revenue growth for TikTok through data science.
We are looking for talented individuals to join us for an internship.
PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date). Responsibilities
- Analyze large and complex datasets to solve challenging business problems using a range of analytical methods.
- Design, analyze, and interpret projects end-to-end, from data requirement gathering and processing to modeling and developing actionable business recommendations.
- Partner with cross-functional teams to identify opportunities that leverage advanced analytical and modeling techniques.
- Design, execute, and interpret experiments, including A/B tests, to generate actionable insights.
- Communicate insights and recommendations effectively to team leadership and contribute to strategic decision-making.

申请条件

PhD student. Strong analytical and data science skills. Experience with large datasets, modeling, and experimentation (e.g., A/B testing). Ability to communicate insights effectively.

雇主简介

TikTok is a leading short-form video platform that develops core training and serving infrastructure for large-scale recommendation systems and AI infrastructure for foundation models and LLMs.

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数据来源:TikTok

岗位信息来源于公开渠道,版权归原作者所有