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

Huawei; München; Vor Ort; EUR 60.000 - 85.000; Teilzeit

Benefits dieser Stelle

Company canteen

Training programs

Language courses in German and Chinese

Zusammenfassung

Huawei's Heisenberg Research Center in Munich seeks an Engineer (18-Month Leased Labor) in Data Analysis and Statistics for the Automotive Engineering Lab (AEL). You will transform raw data into statistically valid evidence and link analyses to regulatory frameworks.

The role requires English proficiency and offers training, a diverse team, and a strong onboarding program. Join a high-performance team tackling open and in-house data, ETL pipelines, and AI-assisted data labeling in a

Qualifikationen

• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Analytics, Electrical Engineering or equivalent experience.
• Proficiency in data analysis and programming languages (Python, R) with pandas, sklearn, scipy, PyTorch.
• Experience with automotive scenario data and simulation-in-the-loop data.
• Experience in ETL and data quality pipelines.
• ADAS function development experience is a plus.
• SQL or NoSQL experience is an advantage.
• Hands-on attitude and ability to join a high-performance team.
• Proficiency in English; German/Chinese knowledge is a plus.

Aufgaben

• Analyze scenario data and transform raw data into statistically valid evidence.
• Link data validation to regulatory frameworks (UN-R157, EU Type Approval, AI Act).
• Explore driving data and build data processing pipelines.
• Design and execute Bayesian, Monte Carlo, or accelerated testing analyses.
• Apply AI methods to labeling, clustering, and characterization.

Kenntnisse

Python

R

Pandas

Scikit-learn

SciPy

PyTorch

SQL

NoSQL

English proficiency

Data analysis

Ausbildung

Bachelor/Master in CS, Statistics, Data Analytics or related (equiv)

Tools

SQL

NoSQL

Jobbeschreibung

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.

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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.