Engineer (18-Month Leased Labor) - Data Analysis and Statistics
Huawei Research Center Germany
München, GermanyNot stated核对于 2026-10-14雇主发布日期:2026-07-21
汽车数据、统计与 ETL:18 个月劳务派遣
Huawei Research Center Germany,München, Germany:汽车场景数据、统计分析、ETL 与数据质量。岗位名称注明 18 个月劳务派遣;英语熟练,中文加分。
统计职责举例包括贝叶斯推断、蒙特卡洛模拟或加速测试;并非要求同时使用所有方法。
核对原文
using Bayesian inference, Monte Carlo simulations, or accelerated testing methods
原文要求数据准备 ETL 和数据质量管线经验,可对应展示数据处理项目。
核对原文
Experience in data preparation pipelines (ETL) and data quality pipelines.
AI 辅助整理并对照雇主原文核对,帮助你比较专业条件。这不是雇主发布的译文;申请要求以原始职位为准。
中文要求依据(雇主原文)
中文优先German and/or Chinese knowledge are an advantage.
“中文必须”表示原文明示语言要求;“中文优先”表示中文是加分项,也可能来自 Preferred qualifications 等优先条件栏目。这是 Joyrney 对原文的整理,不代表放宽岗位的其他要求。
查看全部相关岗位职位介绍(雇主原文)
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.
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.
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