Bosch Chassis Systems India Private Ltd. is hiring a 数据和AI科学家_CR

Company Description Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Corporate Research – Research and Technology Center Asia Pacific is a team of international & interdisciplinary scientists, driving cutting edge research to leverage on Asia’s excellent expertise. Scientifically verified knowledge and insights are the foundation of our sustainable solutions. Through our innovation, we develop a vision for the future product of Bosch, evaluate its feasibility, and convert it into practical solutions. We set trends and enable new business opportunities for Bosch. Position Summary We are looking for a Data & AI Scientist to develop advanced analytics, machine learning, and big-data pipelines for real-world PEM fuel cell truck operation data. The successful candidate will mine vehicle field data to detect degradation signatures, quantify lifetime-relevant operating stressors, build health-state and remaining-useful-life models, and support engineering decisions for fuel cell system optimization. This role sits at the intersection of: big-data engineering, machine learning, and causal analytics. Key Responsibilities - 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.