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Junior Data Analyst, Automotive Lighting
Not specifiedFull-timeBusiness IntelligenceAutomotive
Analyze large-scale night-driving data to assess automotive lighting technology, investigate system behavior, and provide evidence-based recommendations. This is a full-time temporary position for nine months.
Responsibilities
- Analyze night-driving datasets and track performance metrics, including false positives and false negatives, across labeled scenes and conditions.
- Investigate system issues at the frame, light-source, or classifier level and identify root causes.
- Develop AI-enabled tools and automation to improve analysis efficiency.
- Support product and algorithm decisions through regression analysis and validation of new developments.
- Define data labeling needs, scenario coverage, and edge cases, and monitor incoming data quality.
- Collaborate with algorithm, software, research, and product teams to validate developments and regulatory scenarios.
- Present findings and recommendations through reports, dashboards, and summaries.
Requirements
- Bachelor’s degree in Industrial Engineering, Data Science, Mathematics, Physics, or a related field.
- At least two years of experience in data analysis, research, or a similar analytical role.
- Strong technical and scripting abilities.
- Experience 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.