Data Quality Analyst - Autonomous Vehicles
Analyzes and validates autonomous-vehicle datasets, monitoring annotation quality, coverage, anomalies, and behavioral edge cases. The role requires Python and database-analysis skills, strong attention to detail, a relevant technical degree, and practical driving experience.
About the job
Responsibilities
Data Analytics
- Analyze collected data across different road scenarios and individual samples to understand events and contributing factors.
- Identify edge cases, behavioral issues, coverage gaps, and scenarios requiring further investigation.
- Monitor quality metrics, investigate anomalies, and assess dataset balance and completeness across locations, scenarios, and labels.
- Evaluate whether new scenes improve data quality and coverage.
Operational Routine & Controls
- Review annotation batches, including repetitive quality checks, to ensure quality and coverage expectations are met.
- Maintain control dashboards and weekly reports, and follow up on identified issues.
- Perform operational tasks that keep annotation processes stable and predictable.
Support & Automation
- Use Python and ClickHouse for analysis, monitoring, and process support.
- Automate data validation, test-result processing, coverage analysis, and repetitive investigation workflows.
- Collaborate with product and engineering teams to implement process improvements.
Requirements
- Degree in Computer Science, Quality Assurance, Data Analytics, Engineering, or another technical discipline.
- Strong analytical thinking and attention to detail.
- Practical Python skills for data processing and analysis, including Pandas.
- Ability to query databases and work with analytical data stacks.
- Willingness to perform routine dataset checks, manual validations, and weekly quality reviews.
- Process-oriented mindset with the ability to follow workflows and maintain documentation and reports.
- Valid driver's license and practical driving experience.
- Authorization to work in the United States.
- No relocation, sponsorship, or remote work options are available.
Nice-to-Haves
- Experience with ClickHouse.
- Experience with QA, testing, or validation workflows.
- Strong systems thinking, attention to quality, and a proactive mindset.
- Experience with semi-automated labeling tools or active learning methods.
Skills
Python, pandas, ClickHouse, Data Analytics, SQL, Quality Assurance, Data Validation, Data Annotation, Active Learning
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