数据和AI科学家_CR

加入博世亚太研究中心，你将成为数据和AI科学家，专注于燃料电池卡车运营数据的分析与建模

Data Processing & Visualization: Clean, process, and analyze massive volumes of time-series field data. Independent Data Exploration: Proactively explore the data with an innovative mindset to discover valuable insights regarding fuel cell degradation behaviors and influencing environmental/operational factors. Advanced AI & Machine Learning: Design, train, and deploy machine learning models to solve complex engineering challenges. Design Optimization Support: Identify potential design flaws or operational inefficiencies through data forensics and provide actionable feedback to support continuous hardware and software design iterations. Cross-Functional Collaboration: Act as the bridge between data science and physical engineering. Work closely with fuel cell domain experts to contextualize data findings and translate them into real-world system improvements. Cloud Database Management: Manage the project's data on Cloud, ensuring efficient data retrieval and pipeline operations using HBase, Redis, Kafka, Spark, and MySQL.

Domain Knowledge: Basic knowledge of fuel cell systems (PEMFC), electrochemistry, or automotive powertrains is a plus. A strong willingness to learn the physical principles behind the data is essential.