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

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.

Qualifications

Qualifications

• Education: Ph.D. degree in Data Science, Computer Science, Applied Mathematics, Engineering, or a highly relevant discipline.
• Data processing and programming: Strong programming skills for data analysis and algorithm development.
• Database and SQL skills: Practical experience with common databases such as MySQL, Microsoft SQL Server
• Big-data and distributed-computing capability: Experience to work with distributed storage and computing technologies, including: HDFS; Hive; Spark; RDD/DataFrame concepts; Spark transformations; Spark job, stage, and task concepts;
• Machine Learning Expertise: Strong foundation in machine learning, statistical modeling, and AI algorithms, particularly with time-series data and predictive analytics.
• 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.
• Communication Skills: Excellent communication and presentation skills. Ability to explain complex data science concepts to domain experts and collaborate effectively in a multidisciplinary team.

 

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