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Open nowPosted 139 days ago

数据科学家-2027届

rigolportal/campus21 open roles

Where
Suzhou, Jiangsu, Chinese Mainland
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Your applicationOpen now数据科学家-2027届rigolportal/campus · Suzhou, Jiangsu, Chinese Mainland

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The clock on this job

Early applications get read.

11.5% 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. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 139 days ago

The posting

1. AI赋能与流程再造： - 深入业务一线挖掘场景，利用数理逻辑重新解构公司现有的业务流程与工作流。 - 识别并剥离“低价值、重复性”的日常工作，设计基于大模型（LLM）或自动化算法的解决方案，协同AI工程及IT团队实现落地，以此释放组织效能。 2. 数据中台与治理深度参与: - 从业务应用视角指导深度参与公司数据中台建设，确保数据标准与治理规则能支撑未来的AI深度应用，助力实现数据资产化。 3. 管理领域科学化建模： - 聚焦组织管理、人才评价与流程治理等核心管理场景，运用数学建模与统计学方法，将定性管理问题转化为可量化、可测算的分析模型。 - 通过数据分析验证管理假设与施策效果，确保管理决策有据可依、逻辑闭环。 4. 专题研究与原型设计： - 针对公司管理中涌现的新问题、新想法（如组织网络分析、AI任职资格管理等），快速响应，运用系统工程思维提供数据支持与解决方案，并在不同业务课题间进行灵活切换与深入研究。

1. 国内外著名高校硕士及以上学历，心理学、经济学、数据科学、运筹学、统计学、系统工程、工业工程、计算机科学等相关专业优先。 2. 极强好奇心，具备数学思维与逻辑建模能力， 能够透过复杂的业务表象看到底层的数学逻辑，擅长将非标准化的管理问题转化为数学模型。 3. 熟练掌握至少一门编程语言，如：Python、R、Matlab，掌握常用的统计模型和机器学习算法 （如假设检验、聚类分析、回归模型、XGBoost等），能独立进行数据分析与实验验证。 4. 熟悉当前大语言模型（LLM）的原理、Prompt Engineering或RAG架构。具备AI原生的工作流思维，有使用相关技术搭建自动化智能体（Agent）或参与过AI应用项目原型开发者优先。

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