Data Analyst

Company: Mobileye
Location: Beijing, China
Type: full_time
Posted: Aug 19, 2026
Views: 0

Mobileye is a global pioneer in computer vision, machine learning, data analytics, localization and mapping for ADAS and autonomous driving.

Mobileye China R&D Center develops REM, our core mapping & localization solution for autonomous vehicles.

We are hiring a Data Analyst to design and deliver robust, high-efficiency validation frameworks for the REM system - a sophisticated ML & image processing pipeline built on million-scale real-world driving datasets, bringing unique technical challenges and growth opportunities.

You will design and build data validation infrastructure, tooling and methodologies leveraging state-of-the-art technologies and cloud-native platforms.

What will your job look like:

  • Improving quality, efficiency and scale adapation of validation processes for test and product maps built from visual data uploaded by millions of vechicles throughout the world.
  • Participate in planning, design and implementation of new validation processes and methodology with technology iteration.
  • Define and implement end-to-end validation tools with well designed metircs and insights to reflect map quality.
  • Integration of existing data anlysis tools, data pipelines to make robust and scalable end-to-end work flow.
  • Build and manage data platforms, including data lakes and data warehouses.
  • Management and prioritization of daily tasks.

    • All you need is:

  • BSC/MSc in computer science, mathematics, or other engineering subjects.
  • Experience with Python (NumPy, SciPy, Matplotlib, Pandas) for data analysis purpose.
  • 3+ years of experience in designing, implementing, and automating data analysis, validation or software testing, with a focus on performance analysis for complex, data-intensive, or machine-learning algorithms.
  • Strong analytical capabilities and experience in data processing..
  • Ability to juggle multiple tasks and build systematic approach.
  • Strong ownership and execution mindset, with excellent problem-solving skills and high attention to detail, and the ability to collaborate effectively and deliver in ambiguous, fast-paced environments.
  • Fluent English.

    • Nice to have:

  • Knowledge in descriptive statistics, probability, and statistical inference.
  • Knowledge in designing and building scalable data pipelines (batch and real-time), including streaming technologies such as Kafka.
  • Knowledge in cloud data environment, such as AWS, including services such as S3, Athena and DynamoDB.
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    Name: Mobileye

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