[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Kuaishou Technology jobs](https://jobs.opennash.com/companies/kuaishou-technology/) · [Search jobs](/search/)

Kuaishou Technology · Hangzhou

# 数据研发实习生（社科数据）

Hangzhou 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/31763)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 数据研发实习生（社科数据）

## Job description
- 参与快手大数据体系的设计与建设，通过数据仓库、元数据、数据管理等体系，管理和建设几千P的数据；
- 参与社科业务数据专题体系的建设，通过对数据的建设和应用理解，支持各类的业务管理决策和业务运营，结合自己的业务sense，发掘数据的业务价值；
- 有很好的团队氛围，徜徉在世界领先的大数据处理和应用技术的海洋中。
- 本科及以上学历，计算机、数学、统计、数据科学、大数据技术等相关专业；
- 有较强的动手能力和学习能力，熟悉一门数据处理语言，如SQL、Java、Python等；
- 有较强的逻辑思维、解决问题的能力，有较强的沟通和团队协作能力；
- 了解 Hadoop 生态系统、大型数据仓库架构、模型设计、ETL等，熟悉Hive、Spark，额外掌握Flink、kafka、redis、clickhouse等的同学优先。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Hangzhou[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/31763)

## More jobs at Kuaishou Technology

### [3D动画编导-【游戏事业部】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/d6d172f6765097ab3560/)

Hangzhou

### [AI Agent研发实习生（AgentOps方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/c9c7a3ce473a3d27384e/)

Hangzhou

### [Aigc素材创意生成算法工程师/专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/4464c8d0dec507f09e72/)

Hangzhou

### [AI产品实习生-【电商】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/ff952ddc55634e1e6159/)

Hangzhou

### [AI产品经理实习生-【电商】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/1058238cbbfe65b92bc1/)

Hangzhou

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)