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Trip.com Group · Shanghai

# Marketing Measurement Data Scientist

Shanghai Data & Analytics 

Listed on Trip.com Group’s official careers site. Posted June 24, 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=MJ035702&atsApiType=Moka)

[OpenNash Jobs](https://jobs.opennash.com/) / [Trip.com Group](https://jobs.opennash.com/companies/trip-group/) / Marketing Measurement Data Scientist

## Job description

职位描述 营销效果衡量（MMM & Attribution & Incrementality） 建立并完善归因模型，结合 last-click， data-driven attribution和多触点归因模型（MTA），统一各区域归因逻辑 开展 Incrementality Test、GeoLift test, Holdout Test 与 Lift Study，校准模型输出 实验设计与因果推断 主导 A/B 测试与准实验（Difference-in-Differences、Synthetic Control）设计与分析 构建实验框架，覆盖 landing page 优化、定价测试、促销策略验证等场景 与市场团队合作定义 KPI，确保实验具备统计检验力 国际市场分析 针对不同成熟度市场（成熟市场 vs. 新兴市场）定制测量方案，处理数据稀疏、渠道差异与隐私合规等挑战 分析各区域消费者行为差异，输出本地化的投放策略建议 整合 Google、Meta、TikTok、本地媒体平台（如 Line、Kakao、Yandex）的数据源 数据基础设施与自动化 与数据工程团队协作，构建营销数据 pipeline（ETL → 特征工程 → 模型推断 → BI 看板） 开发自动化报告模块，减少人工取数负担，提升各市场营销团队的数据自助能力 维护统一的 Marketing Data Mart，确保跨市场口径一致性 任职资格 必须具备 统计学、数学、计算机科学、经济学或相关专业本科及以上学历 3 年以上 marketing analytics 或 growth analytics 工作经验 扎实的统计基础：回归分析、贝叶斯推断、时间序列、因果推断 熟练使用 Python 或 R 进行建模 精通 SQL，能独立完成大规模数据提取与处理 有 Attribution, Incrementality Measurement 和Attribution 的落地经验 加分项 有 Robyn、Meridian、LightweightMMM 等开源 MMM 框架使用经验 熟悉 causal inference 工具库（DoWhy、CausalImpact） 有多国市场（APAC、EMEA、LATAM）数据分析经验 了解 iOS ATT、GDPR等隐私法规对测量体系的影响

## At a glance
- Posted by the employer: Jun 24, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 117 days
- Location: Shanghai[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ035702&atsApiType=Moka)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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