Use statistical analysis, predictive modeling, and experimentation to uncover customer and marketing insights, guide strategic decisions, and build reporting and analytics tools for business stakeholders.
Data Scientist - Perception Verification and Validation
📜 Description
- Define metrics to measure new features’ impact on the perception stack and end-to-end system behavior.
- Create and maintain datasets for evaluating perception and end-to-end driving performance.
- Analyze large-scale metric results to identify perception failure patterns and present insights to leadership.
- Design and implement statistical methods to quantify uncertainty in 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.
- Skilled at using AI tools to improve development efficiency and quality.
- Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)
- Experience analyzing geospatial data
Full job description
In this role, You will...
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