燃料电池汽车数据科学家_CR at Bosch Group

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Predictive Diagnostics, AI Models, Machine Learning, Time-Series Data, Data Processing, Data Visualization, Data Exploration, Design Optimization, Cross-Functional Collaboration, Cloud Database Management, HBase, Redis, Kafka, Spark, MySQL

Industry

Software Development

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 About the Team and Project Our current focus is on advancing Proton Exchange Membrane Fuel Cell (PEMFC) power modules, primarily for mobility application. Based on massive operational data of fuel cell vehicles in field, the work scope include: Conduct data mining to harness the accumulated FCEV field data. Specific working area includes: Uncover hidden insights into fuel cell degradation Develop predictive diagnostic functions Identify system design optimization opportunities Train advanced AI models. Work closely with corporate research hub in Renningen, Germany, on project activities and competence development. Work closely with business units to supply cutting edge and competitive technology solutions and to transform them to products. Execute technology scouting in China/Asia covering both academia and industry for preparing strategic decisions. We are seeking a highly motivated and innovative Data Scientist to lead the data analysis efforts for this critical initiative. 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 Education: Ph.D. degree in Data Science, Computer Science, Applied Mathematics, Engineering, or a highly relevant discipline. 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 required. 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. Mindset: Highly analytical, independent, and driven by curiosity with a passion for transforming raw data into strategic engineering insights. Data Engineering & Cloud: Experience in database management and working with big data ecosystems. Hands-on experience with HBase, Redis, Kafka, Spark, MySQL, and cloud platforms 博世集团网上招聘数据处理同意声明个人信息及目的：你的如下个人信息将被处理并用于招聘：姓名、电子邮箱、电话号码、所在地区、经验和教育信息、简历等应聘者自主提交的附件信息、证件号、职位、部门、计划入职日期、劳动合同持续时间、工作地点、月薪、年薪、浮动奖金比例、餐贴、车贴。博世将依据相关的数据保护法规，在全球范围内对您的数据进行保密。招聘流程中，您的个人信息只有在必须时才会被提供给博世以外的第三方机构(如代理机构)。博世精心挑选了第三方机构并与之签订了保密合同。博世采取了种种保密措施以保护您的数据，确保其不会遭受操纵、丢失、破坏、未经授权的访问或泄漏。我们的安全措施将随着新技术的应用而不断升级。您的本地浏览器和我们的人才招募系统之间的数据传输通过https加密。特定职位申请：申请博世集团的职位就意味着您将自己的个人信息提供给博世集团旗下相应的法律实体（具体请见博世集团法人清单）。请注意，若有任何文件或资料变更，请在所有申请书里一并变更。人力资源部门的员工可能与您联系，询问您是否同意将您的求职申请转向博世集团内部另一合适职位。如果您申请了特定职位，那么只有在您同意的情况下，博世才会将您的求职申请转向另一职位。您可以随时撤回求职申请，博世将根据相关法律删除您的个人信息。与您的申请相关的所有资料将被保留至24个月。您的权利：若您希望停止向博世提供您的个人信息，可联系我们或通过博世网上招聘数据隐私声明中的BKMS系统提出申请。您可以在SmartRecruiters平台查阅和修改您的简历。您对您的个人信息的处理享有知情权、决定权，您有权限制或者拒绝我们对您的个人信息进行处理。您还可以更正、补充您的个人信息。跨境传输：为了实现前述目的，我们所收集的您的个人信息可能会在多个国家或地区间进行跨境转移，例如德国、新加坡。德国：罗伯特-博世有限公司（德国格宁根市罗伯特博世广场1号（Robert-Bosch-Platz 1, Gerlingen-Schillerhohe, Germany，邮编：70839），用于集团统一招聘管理（博世中国与数据接收方均基于该目的开展数据出境活动；英国：SmartRecruiters（英国伯克郡温莎亚瑟路圣斯蒂芬大厦邮政区码: SL4 1RU），用于招聘、后期交流联系及分享职位/活动信息、潜在人才社区邀请。您可通过上述联系方式依法向境外接收方行使您在个人信息处理活动中的权利。存储您的个人信息：我们将仅在为实现目的必要的范围内以及法律法规要求的时间内保留您的个人信息。雇佣：被雇佣后，您提供的数据将被从当前招聘系统转移至职位所属公司的人力资源管理系统。联系方式：请通过访问博世中国官方主页：博世在中国＞加入博世＞工作机会，在网上招聘数据隐私声明中“9.联系方式” 博世集团法人清单：请通过访问博世中国官方主页：博世在中国＞加入博世＞工作机会，在网上招聘数据隐私声明中获取现阶段使用网上招聘系统的博世集团法人（第五页） Legal Entity: Bosch (China) Investment Ltd.

Responsibilities

The role involves conducting data mining on accumulated Fuel Cell Electric Vehicle (FCEV) field data to uncover insights into fuel cell degradation, develop predictive diagnostic functions, and identify system design optimization opportunities. Key tasks include cleaning and analyzing massive time-series data, training advanced AI models, and providing actionable feedback for hardware and software design iterations.