AD Data Service Architect
Read straight from Mercedes-Benz Group AG's careers page, verified 2d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationChina (Mainland)-Beijing-Beijing
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentAD AI Algo
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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 techniques such as clustering, classification, 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.
Fluent in English
Self-responsible working attitude and initiative.
Strong intercultural competence and excellent communication skills.
Automotive industry experience, with familiarity with Advanced Driver Assistance Systems (ADAS), is a plus.
Additional proficiency in German is a plus.
Skills
Java
Python
Spark
Flink
Kafka
SQL
NoSQL
Azure
Tencent Cloud
Alibaba Cloud
Objectvie of Job
About the company
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.