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Open nowPosted 268 days ago

AI数据科学实习生

jm196x6sv7/0294036 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland
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Your applicationOpen nowAI数据科学实习生jm196x6sv7/029403 · Hangzhou, Zhejiang, Chinese Mainland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 268 days ago

The posting

  • 把增长、产品或医药业务问题拆成决策任务，明确数据、知识、可调用工具、输出格式、评测标准与人工复核点。
  • 使用 Python、SQL、统计与机器学习方法处理数据，并结合 LLM、RAG 或 Tool Calling 构建分析 Agent、数据 Copilot 或决策助手原型。
  • 构建提示词、工具接口、数据语义与小型评测集，测试数值准确性、事实一致性、权限边界、证据追溯和异常输入。
  • 参与实验、因果分析或预测任务，将可靠结果接入真实工作流，跟踪业务采用、错误反馈与实际增量。

1. 在读本科生、硕士生或博士生，统计、数学、计算机、人工智能、数据科学、经济、公共卫生等相关方向均可。 2. 熟练使用 Python 与 SQL，能够完成可复现的数据处理、建模、实验和结果验证。 3. 具备概率统计、机器学习、假设检验和回归分析基础，理解训练验证划分与实验设计原则。 4. 理解 LLM 与 Agent 的基本机制，使用过模型 API、RAG、Tool Calling 或工作流编排中的至少一种，并能展示完整项目。 5. 重视数据质量、评测与复现，能清晰表达证据和不确定性；可保证稳定实习投入。 加分项 - 做过 Agentic Analytics、NL2SQL、数据 Copilot、RAG、智能决策或面向真实用户的 AI 数据产品。 - 有 A/B 实验、因果推断、推荐/广告、预测优化、数据竞赛或论文复现经历。 - 有医药、公共卫生、真实世界数据或行业知识工程项目经验，并能展示从评测到业务采用的证据。

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