Engineer (18-Month Leased Labor) - Data Analysis and Statistics

**Huawei's Heisenberg Research Center** in Munich is responsible for advanced technology research, architectural development, design and strategic engineering of our products.

In the **Automotive Engineering Lab (AEL)** teams are rapidly growing and focused on advanced automotive technologies in multiple domains.

Join Automotive Engineering Lab (AEL) as

**Engineer (18-Month Leased Labor) - Data Analysis and Statistics (m/f/d)**

**Your mission**

Conduct scenario data analysis, transforming raw operational data from open and in-house sources into rigorous, statistically valid data-driven evidence. Link between data-driven validation and regulatory frameworks such as UN-R157, EU Type Approval, and the AI Act, focused on supporting safety claims by robust statistical methods.

• Explore and pre- and post-process driving data from open data and in-house data sources. Implementing data processing pipelines.
• Design and execute statistical data analysis (e.g., using Bayesian inference, Monte Carlo simulations, or accelerated testing methods) to extrapolate real-world data into statistically significant claims.
• Apply AI methods to data labeling, clustering, characterization.

**Your areas of expertise**

• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Analytics, Electrical Engineering or equivalent experience.
• Profound knowledge and proficient skills in data analysis and programming languages, e.g., python, R, and frameworks such as pandas, sklearn, scipy and pythorch.
• Experience with working with automotive scenario data, e.g., actor trajectory data or simulation in the loop data.
• Experience in data preparation pipelines (ETL) and data quality pipelines.
• Experience in ADAS function development or related automotive functions is an advantage.
• Experience with SQL or no-SQL is an advantage.
• Hands-on attitude and positive engagement to integrate into a high-performance team.
• Proficiency in English. German and/or Chinese knowledge are an advantage.

By applying to this position, you agree with our Recruitment Privacy Statement. You can read in full our privacy policy [here](http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html).

**Your rewards of working here**

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

**Huawei** is a leading global information and communications technology (ICT) solutions provider. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 208,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.