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Open nowPosted 52 days ago

用户增长数据科学实习生 - TikTok Shop

ByteDance19,208 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now用户增长数据科学实习生 - TikTok ShopByteDance · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 52 days ago

ByteDance median: 2 days open

The posting

团队介绍:TikTok Shop 是 TikTok 旗下的内容电商。平台汇聚全球优质商家与创作者,通过短视频、直播等多场景连接消费者,让新奇好物畅销全球,让美好生活触手可得。目前团队分布在美国、英国、法国、印尼、墨西哥、中国等全球多个国家和地区,在这里你将有机会深入国际业务场景,面向全世界商家及用户,和跨区域团队协作,共同探索创新购物模式。期待和优秀的你一起创造更多可能!

日常实习:面向全体在校生,为符合岗位要求的同学提供为期3个月及以上的项目实践机会。

1、参与TikTok用户增长相关数据分析工作,支持拉新、激活、留存、召回、转化等业务场景; 2、基于海量用户行为,进行数据清洗、特征构建、分析建模与结果解读,挖掘影响增长的关键因素; 3、参与增长策略效果评估,设计并分析A/B Test、因果推断或其他统计评估方案,为业务决策提供支持; 4、搭建或优化用户分群、转化预估、流失预警、LTV预测、营销响应等相关模型,提升增长投放与运营策略的精细化水平; 5、与产品、运营、研发、算法等团队协作,将分析结论转化为可执行的业务策略,并持续跟踪落地效果; 6、沉淀分析方法、指标体系和通用框架,推动用户增长分析能力标准化和系统化建设。

1、本科及以上学历在读,统计学、数学、数据科学、计算机、经济学、运筹学或其他相关专业; 2、具备扎实的统计学基础,熟悉假设检验、回归分析、实验设计、A/B Test、因果推断等常用方法,具备较强的建模能力,能够独立完成问题抽象、特征设计、模型训练、效果评估及结果解释; 3、熟练使用Python进行数据处理、分析和建模,熟悉Pandas、NumPy、scikit-learn、statsmodels等常见工具库,熟练使用SQL,能够高效完成复杂数据提取、清洗、聚合和分析; 4、对数据敏感,具备良好的逻辑分析能力、结构化思维和业务理解能力,能够从复杂问题中提炼关键结论; 5、具备良好的沟通协作能力,能够与跨团队同学高效合作,推动分析结论落地; 6、每周可实习4天及以上,实习周期3个月及以上者优先。

加分项 1、有用户增长、商业分析、数据科学、推荐/广告/营销策略相关实习经历; 2、有增长场景相关项目经验,如拉新投放优化、用户分层、留存分析、流失预测、转化率优化、营销归因等; 3、熟悉机器学习、因果推断、Uplift Modeling、时间序列分析等方法者优先; 4、有海量数据处理经验,熟悉Hive/Spark/数据仓库体系者优先; 5、对短视频、内容平台、社交产品或国际化互联网业务有较强兴趣和理解。

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