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Open nowPosted 74 days ago

【探索者】数据分析工程师

xiaopeng/index1,586 open roles

Where
Guangzhou, Guangdong, Chinese Mainland
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Your applicationOpen now【探索者】数据分析工程师xiaopeng/index · Guangzhou, Guangdong, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on xiaopeng/index's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. xiaopeng/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 74 days ago

xiaopeng/index median: 1 days open

The posting

对接IoT、MES、WMS、设备控制及质量系统，完成设备、产线、工艺、物流等多源异构数据的接入、清洗、关联与标准化。 构建批流一体的数据处理链路，支撑生产状态监控、异常识别、故障预警及数字孪生模型的实时数据驱动。 开展生产节拍、设备停机、物流、质量及能耗等专题分析，识别瓶颈、异常、趋势和关键影响因素。 基于统计分析、机器学习和时序建模，开发产量预测、设备健康评估、故障预警、能耗预测等模型。 与仿真工程师协作，为Plant Simulation等仿真模型提供输入参数、概率分布及业务规则，并利用现场数据完成模型标定和结果验证。 推动分析及模型成果在生产、设备、物流和能源业务中的落地，形成可量化的质量、成本和效率收益。

硕士及以上学历，计算机、数据科学、统计学、数学、工业工程或自动化等相关专业。 熟练使用Python及SQL，掌握常用的数据处理、统计分析、特征工程和机器学习方法。 熟悉至少一种大数据或流处理技术，如Spark、Flink、Kafka；具备实时数据处理经验者优先。 熟悉时序数据、传感器数据及异常检测方法，能够处理数据缺失、漂移、噪声和时间对齐等问题。 具备良好的业务分析能力，能够将制造问题转化为数据指标、分析方法和可验证的模型。 具备跨团队协作能力，能够与工艺、设备、生产、数字化及仿真团队共同推进项目落地。

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