Data Analyst – Automotive Lighting Systems - Temporary position for 9 months
תיאור התפקיד
Are you passionate about cutting-edge technology, data-driven decision making, and making a real impact on road safety?
Join our innovative team and help power the next generation of smart automotive lighting systems.
As a Data Analyst on the team, you will evaluate the performance of the technology that decides how millions of vehicles light the road at night.
You will analyze large-scale night-drive data, investigate system behavior, generate actionable insights, and develop tools that improve analysis processes and operational efficiency.
You will work closely with algorithm developers, software engineers, and product teams to ensure high reliability, strong data quality, and scalable workflows, and to make sure our performance holds up in real world and regulatory scenarios.
This role includes designing solutions and AI-driven tools that help streamline processes, reduce manual work, and improve the productivity of our analysis and data production environment.
The role also requires conducting in-depth investigations developing AI-powered analysis tools, extracting actionable insights from complex data, and translating these findings into recommendations that drive improvements in our technology and products.
Temporary position for 9 months
What will your job look like:
- Analyze large-scale night-driving datasets to evaluate the performance of our lighting technology, own and evolve the KPI picture, false-positive and false-negative rates, mean time and distance between false events, over a labeled scene catalog spanning countries, road types and weather conditions.
- Investigate complex issues down to a specific frame, light source or classifier decision, identify root causes, and provide actionable insights to the algorithm and software teams.
- Develop AI-powered tools and automation solutions to improve analysis efficiency and shorten the path from a failed drive to an understood root cause.
- Support product and algorithmic decisions through data-driven analysis, including regression analysis between versions and validation of new developments before release.
- Define and refine the data we need: labeling requests, scenario coverage, and edge cases, and monitor the quality of what comes back.
- Collaborate with algorithm, software, research and product teams to validate new developments and verify regulatory scenarios.
- Present findings and recommendations through clear reports, dashboards and summaries.
All you need is:
- B.Sc. in Industrial Engineering, Data Science, mathematics, physics etc.
- 2+ years of experience in data analysis, research, or a similar analytical role
- Strong technical ability, and scripting abilities
- Experience in using AI tools
- Fluent English.
- Hands-on experience with Python - an advantage.
- Familiarity with AI tools, machine learning concepts, or data-driven technologies - an advantage.
- Experience analyzing perception, computer vision, or sensor-based systems - an advantage.
מיומנויות שהוזכרו

Mobileye is pioneering the global evolution toward a safer driverless future through its cutting-edge driver-assist technologies and innovations in autonomous driving. Established in 1999, the company's journey began with the revolutionary vision of using a single camera to create life-saving technologies for vehicles. Over two decades, Mobileye has equipped over 190 million vehicles with its advanced systems, leading the charge in reducing accidents and enhancing road safety through vision-based technologies. The company has become synonymous with industry-leading solutions for Advanced Driver Assistance Systems (ADAS) and has taken significant strides toward fully autonomous vehicles. Mobileye's innovations include the EyeQ™ chip family, which powers its perception algorithms, and the Road Experience Management™ (REM), a crowdsourced mapping technology that collects real-time road data to assist autonomous navigation. Its unique Responsibility Sensitive Safety (RSS) model ensures that self-driving systems make safe driving decisions based on human-like behavior. Their commitment to safety and scalability is evident as they integrate hardware and software innovations to produce reliable, safe, and effective autonomous technologies. Mobileye continues to set industry benchmarks by focusing on creating technology not just for the present but also for a future where safe and efficient transportation is accessible to all.
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