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Trip.com Group · Shanghai

# 数据挖掘助理

Shanghai 

Listed on Trip.com Group’s official careers site. Posted September 23, 2026. Check that it is still open and apply there.
[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ037210&atsApiType=Moka)

[OpenNash Jobs](https://jobs.opennash.com/) / [Trip.com Group](https://jobs.opennash.com/companies/trip-group/) / 数据挖掘助理

## Job description

职位描述
- 参与景点玩乐业务的销量预测&营销手段效果预测的算法工作，协助消费端的业务决策；
- 优化当前因果推断模型， 开发优化运筹决策模块(离线) 提升业务收益；
- 基于 TimesFM 开源模型进行领域适配，使用业务数据微调（LoRA），提升预测精度
- 通过预训练、微调、RLHF、RAG、MoE等技术手段，在业务场景训练模型产品并持续提升
- 理解业务场景，梳理业务数据，协助相关算法策略迭代优化。 任职资格
- 有深度学习模型的实际项目经验， 有大模型的后训练有经验者优先；
- 熟练使用python以及关键算法包，有较强的实际动手能力以及一定的机器学习&深度学习的理论基础； -有因果推断&时序预测的背景和实际经验优先；
- 有一定的SQL脚本基础；
- 对算法和模型有热情，主动性强，工作认真负责，具有良好的团队协作能力

## At a glance
- Posted by the employer: Sep 23, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 26 days
- Location: Shanghai[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ037210&atsApiType=Moka)

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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.

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