Data Scientist analyzing large datasets to discover trends and supporting business stakeholders with data - driven insights. Designing machine learning models and presenting information through data visualization.
About the role
- Data Scientist joining Perception Verification and Validation team for autonomous driving systems, defining performance metrics and analyzing data insights. Collaborating on datasets to support perception system improvements.
Responsibilities
- Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior
- Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance.
- Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership.
- Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.
Requirements
- Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
- Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
- Basic experience with autonomous driving, safety-critical systems, or computer vision systems.
- Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
- Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.
Benefits
- paid time off (e.g. sick leave, vacation, bereavement)
- unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- health insurance
- long-term care insurance
- long-term and short-term disability insurance
- life insurance
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