We are looking for a Technical Data Analyst who excels at data operations, analytical problem-solving, and deriving actionable insights from complex datasets. The ideal candidate will help build an understanding of critical technological gaps that can take our product to the next level. Since we work with a large-scale, complex machine-learning system composed of many interacting engineering components, this role requires strong analytical thinking, systems-level understanding, and the ability to investigate challenging technical problems.
What will your job look like:
- Work closely with developers, product managers, and REM stakeholders to define analysis strategies and support data-driven decision-making.
- Develop a deep understanding of REM's large-scale mapping ecosystem, including map creation, validation, and update pipelines.
- Build analytical models to estimate map creation timelines, operational costs, and scalability across regions and map products.
- Analyze map freshness, update latency, coverage gaps, and map quality to identify opportunities for improvement.
- Analyze the impact of fleet size, geographic distribution, and driving patterns on map quality, coverage, and update velocity.
- Build scripts, automate analysis workflows, and leverage AI-assisted tools to improve productivity and analytical effectiveness.
All you need is:
- Bachelor’s Degree in Statistics, Industrial Engineering, Biomedical Engineering, Computer Science, Data Science, or a related field.
- 2+ years of experience using Python for data manipulation, analysis, automation, and tool development.
- Strong understanding of complex systems and the ability to analyze interactions across multiple engineering components.
- Experience creating scripts and automating analytical workflows.
- Experience effectively using AI-assisted development tools such as Claude Code and Cursor.
- Strong problem-solving skills, broad vision, and a systematic approach to investigation and root-cause analysis.
- Experience querying and analyzing data using SQL and working with databases.
- Excellent interpersonal and communication skills, with experience collaborating across multiple stakeholders and cross-functional teams.
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What We Do
Mobileye is leading the mobility revolution with its autonomous-driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping, and data analysis. Founded in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and the RSS™ safety model. These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. Mobileye technology is used in over 170 million vehicles worldwide. In 2022, Mobileye became an independent company while still being majority-owned by Intel. Mobileye’s headquarters and R&D center are based in Jerusalem, with additional offices across Israel and around the world.
Why Work With Us
Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver assistance systems, and delivers valuable intelligence to optimize mobility infrastructure.
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