职位描述
职位名称:  Data Analytics RTM HV Battery
公司:  Volkswagen Group (China) Technology Company Limited
发布起始日期:  2025/8/25
职位地点:  合肥
职能:  研发
职位描述: 

Brief description of the position:

The position holder is responsible for development, testing and applying Python/PySpark code for data extracting, cleansing, joining, aggregating and visualizing from various sources, executing exploratory and explanatory data analysis, performing feature engineering and model training / tuning and presenting results to all relevant BU/stakeholders and management. 

 

Key Tasks:

  • Monitor RTM data for suspicious values, categorize into known issues or analyze details for new issues. Create reports on single cars or fleet of cars depending on BU demands.
  • Develop new use cases and features to support battery requirements, development, testing and simulation.
  • Gather, clean, prepare and visualize data of electric vehicles / HV batteries. Merging data from different data sources.
  • Support new vehicle / battery projects by monitoring Real-Time Data for new issues.
  • Create meaningful and understandable reports with data visualization and interpretation using Python or BI tools.
  • Maintain and improve code of existing use cases. Improve code performance and migrate to new versions.
  • Support improvements of Cloud Services and IT tools in alignment with the IT and legal departments.
  • Perform feasibility studies on new tools, software, algorithms or ML models.
  • Responsible for internal and external resource planning incl. support for commercial process and hour estimation.

 

Qualification and skills required for the position:

  • Degree in computer science, mathematics, automotive engineering, electrical engineering or adequate experience in at least one of these fields
  • At least 3 years working experience in data analytics with Python/PySpark on Jupyter Notebooks, Apache Spark and Hadoop
  • At least 2 years working experience in automotive & HV batteries
  • Strong Python and Machine Learning skills
  • Experience in supervised and unsupervised machine learning
  • Experience in cloud services (e.g. Huawei OBS and MRS, Spark, Hadoop, Yarn)
  • Experience in collaborative SW development and notebooks
  • Understanding of high-voltage batteries, vehicle bus systems and automotive software
  • Detail and target orientation, self-motivated, willingness to learn
  • Strong verbal and written communication skills, presentation skills
  • Highly motivated team player with positive attitude on problem solving
  • Fluent in English, basic German and Chinese preferable