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Mercedes-Benz USA

AD Data Service Architect

China (Mainland)-Beijing-BeijingPosted 1 months ago
onsite

Job Description

Objectvie of Job

Embedded in a worldwide network Mercedes-Benz Research & Development China continuously strives to remain at the forefront of successful automotive research and development. Mercedes-Benz R&D China is headquartered in Beijing and is opening a R&D branch office in Shanghai, with key areas of Autonomous Driving(AD), Adavanced Driving Asistant System (ADAS), Cloud Platform for ADAS/AD, Advanced Interaction Design, Telematics, Big Data Analytics, and Open Innovation. 

Our AD AI Algo team is looking for a highly motivated and skilled Data Service Architect to support with the collection and analysis of data from Mercedes-Benz Vehicles. At this role you will have the unique opportunity to work with a group of innovative engineers together to improve driving safety and customer driving experience.

Task Description

  • Design data mining solutions to support our next generation AD product development
  • Develop predictive models and new algorithms that can fit to AD development needed
  • Collaborate directly with stakeholders and subject-matter experts to define use-cases of data mining
  • Research on new tech and improve data mining solutions on efficiency and accuracy.

Qualification

  • Bachelor’s degree or above in a relevant engineering area or equivalent experience.
  • Minimum or 3 years of experience in AD data driven development or 5 years of experience in big data development, preferably in the automotive industry, abroad, or in an international company.
  • Demonstrable programming experience with Java, Python, Spark, Flink, Kafka, and other big data frameworks.
  • Proficiency in data mining techiiques such as clustering, classficiation, regression, association rule mining and anomaly detection.
  • Proficiency in machine learning such as supervised/unsupervised learning, NLP, and deep learning..
  • Familiarity with database such as SQL/NoSQL.
  • Understanding of Real-time Data Processing techniques and technologies.
  • Knowledge of Data Quality and Governance best practices.
  • Experience with cloud-based architectures, preferably in Azure, Tencent, or Alibaba Cloud.
  • Automotive industry experience, with familiarity with Advanced Driver Assistance Systems (ADAS), is a plus.
  • Fluent in English; additional proficiency in German is a plus.
  • Self-responsible working attitude and initiative.
  • Strong intercultural competence and excellent communication skills.
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