Data Analyst – Automotive Lighting Systems - Temporary position for 9 months
Mobileye Jerusalem, Jerusalem District, Israel
Artificial Intelligence · 1,001-5,000 employees
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About the role
Analyze large-scale night-driving datasets to evaluate lighting technology performance and identify root causes for system behaviors. Develop AI-powered tools and automation solutions to streamline analysis processes and support product decision-making.
What they look for
Requirements
Requires a Bachelor's degree in Industrial Engineering, Data Science, Mathematics, Physics, or a related field. Candidates must have at least 2 years of experience in data analysis or research with strong scripting and technical abilities.
Full description
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
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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.
Nice to have:
- Hands-on experience with Python.
- Familiarity with AI tools, machine learning concepts, or data-driven technologies.
- Experience analyzing perception, computer vision, or sensor-based systems.
\nMobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
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