Data Analyst
Summary
Designs and builds validation frameworks for Mobileye’s REM mapping system, analyzing million-scale driving datasets to ensure quality and performance of autonomous-vehicle localization pipelines.
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 adaptation of validation processes for test and product maps built from visual data uploaded by millions of vehicles 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 metrics and insights to reflect map quality.
• Integration of existing data analysis 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:
• 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.