Data Analytics Engineer

申请编号: 79286

这是一家立足于突破的公司。
加入我们。

康宁是全球领先的玻璃、陶瓷和材料科学创新引领者之一。从海洋深处到浩瀚宇宙，我们的技术不断突破可能性的边界。

我们是如何做到的？依靠我们的员工。在康宁，我们的员工独树一帜、突破常规——这不仅限于职业生涯的某一时刻，而是每一天，都在帮助推动公司及世界的进步。

在康宁，你所做的工作有数之不尽的机会对世界和人类产生积极的影响。你能帮助世界互联互通，驱动汽车的未来，让家庭娱乐更精彩，使救生药品安全送达。你能改变的远不止于此。

加入我们，一同突破。

我们的光通信事业部日前已经从光纤和电缆、硬件与设备制造商发展成为了在更加广泛的通信领域提供行业领先光学解决方案的综合服务供应商。这一领域共分为两种主要的产品分组 – 即载波网络和企业网络。载波网络产品分组主要包括适用于以光学为基础之通信基础设施的产品和解决方案，可用于视频、数据和语音通信等服务。企业网络产品分组则主要包括销售给公司、政府和个人自用并且以光学为基础的通信网络。

日常职责

1. 数据工程与分析

o Collect, clean, validate and pre-process structured and unstructured data (text, image, video, and audio) from plant, operational and business sources.
o Build and maintain scalable data models, datasets, ETL/ELT pipelines and data-quality checks; ensure timely, accurate and traceable data availability.
o Conduct statistical analysis and develop visualizations, dashboards and recurring reports to identify operational improvement opportunities in CHOCC plant.
o Translate business questions into analytical approaches and clearly communicate findings and recommended actions to stakeholders.

2. 机器学习与高级分析

o Develop, train, evaluate and deploy fit-for-purpose machine-learning models to identify patterns, predict outcomes and support plant performance improvement.
o Optimize model accuracy, robustness and performance; monitor model results and iterate based on business feedback.

3. AI 与智能体

o Design, build, test and improve AI-powered agents for data analysis, automated reporting and decision support.
o Apply LLMs for data understanding, code generation, summarization and insight generation, including prompt design, evaluation and iteration.
o Integrate AI agents with approved data sources and workflows (e.g., Python scripts, APIs and databases), while assessing limitations, risks, privacy and compliance requirements.

4. P项目主导、协作与文档

o Lead end-to-end data analytics, automation and AI-enabled projects, from opportunity identification and requirements gathering through solution design, development, deployment and benefit tracking.
o Partner with plant teams, Digital/IT and other cross-functional stakeholders to define project scope, prioritize use cases, align resources and deliver practical, scalable solutions.
o Drive project plans, milestones, risks, stakeholder communications and issue resolution to ensure timely delivery and realization of targeted business benefits and cost reductions.
o Establish and maintain clear documentation for data definitions, pipelines, analytical methodologies, model/agent logic, technical designs and project outcomes.
o Promote knowledge sharing, user adoption and continuous improvement of data, analytics and AI solutions across the plants.

教育及工作经历

• Bachelor’s degree or above in Computer Science, Data Science, Statistics, Industrial Engineering, Automation or a related discipline.
• Relevant experience in data analytics, data engineering, business intelligence or digital/manufacturing analytics; strong candidates with relevant project experience may be considered.
• Experience working with manufacturing, operational or supply-chain data is preferred.

必要技能

• Proficiency in Python and SQL; hands-on experience with data analysis libraries and tools such as Pandas, NumPy, Excel and Power BI.
• Solid understanding of data cleaning, data modeling, ETL/ELT, statistical analysis, visualization and data-quality management.
• Working knowledge of machine-learning concepts, common algorithms, model evaluation and performance tuning.
• Foundational understanding of generative AI, LLMs and AI-agent concepts (e.g., tool use, workflow orchestration and prompt-based reasoning), and the ability to apply them responsibly to analytics, coding assistance or reporting.
• Awareness of data privacy, cybersecurity and responsible-AI principles.
• Strong problem-solving, stakeholder communication and documentation skills; able to work effectively across functions.
• Professional working proficiency in English and Chinese.

期望技能

• Experience with cloud data/AI platforms (e.g., AWS), APIs, version control (Git) and databases/data warehouses.
• Familiarity with data orchestration, MLOps, dashboard development or deployment of analytics solutions.
• Experience with manufacturing systems/data (e.g., MES, ERP, SCADA/historian) and Lean/continuous-improvement practices.
• Experience evaluating LLM applications or building AI-agent workflows is a plus.

康宁致力于提供平等就业机会，并根据适用的法律考虑合理便利申请。残障人士或有宗教信仰的人员可申请合理便利，以便参与应聘，工作或享受公司福利和权益。如需申请与残障或宗教相关的合理便利，请通过accommodations@corning.com联系我们。