Data Analyst – Validation for Autonomous Mapping

About the role

Mobileye is seeking a Data Analyst to design and deliver robust validation frameworks for its REM mapping and localization solution used in autonomous vehicles. You will work with massive real‑world driving datasets, building tools and pipelines that ensure high‑quality map products.

Key responsibilities

• Improve quality, efficiency and scalability of validation processes for test and product maps generated from visual data collected by millions of vehicles.
• Participate in planning, design and implementation of new validation methodologies and technology iterations.
• Define and implement end‑to‑end validation tools with clear metrics and insights to reflect map quality.
• Integrate existing data analysis tools and data pipelines to create robust, scalable workflows.
• Build and manage data platforms, including data lakes and data warehouses.
• Prioritize and manage daily tasks to meet project goals.

Required profile

• BSc/MSc in Computer Science, Mathematics, Engineering or a related field.
• 3+ years of experience designing, implementing and automating data analysis, validation or software testing, especially for performance analysis of complex, data‑intensive or machine‑learning algorithms.
• Strong analytical capabilities, systematic approach to multiple tasks, and high attention to detail.
• Excellent problem‑solving skills and ability to collaborate in fast‑paced, ambiguous environments.
• Fluent English.

Required skills

• Python programming (NumPy, SciPy, Matplotlib, Pandas).
• Experience with cloud data environments, particularly AWS services such as S3, Athena and DynamoDB.
• Knowledge of streaming technologies like Kafka.