Aurora is looking to improve the safety performance of the Aurora Driver through data analysis and insights.
Requirements
- Advanced knowledge and experience using relational databases (SQL, PostgreSQL, etc.)
- Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools
- Competent in Python, able to write readable code that others can easily interpret
- Experience using Amazon Web Services (AWS) tools (desirable)
- Experience in the Autonomous Vehicles or other safety-critical systems industries (desirable)
- Advanced degree (MS) in Statistics, Computer Science, Systems Engineering, or a related quantitative field (desirable)
Responsibilities
- Work with safety and engineering teams to provide data tools and insights to continually improve the safety of the Aurora Driver
- Design and implement metrics and dashboards to help stakeholders measure, understand, and improve their safety performance
- Collaborate with Data Scientists and Analysts on Data Science & Analytics problems spanning multiple subsystems
- Collaborate with Data Science and Engineering communities to ensure the adoption of best practices and suggest improvements
- Take Data Analytics projects end-to-end: synthesizing business needs, building data pipelines, adhering to high engineering rigor for safety-critical data products, and clearly presenting insights
Other
- 3-4 years of experience as a Data Analyst, Data Scientist or similar technical role
- Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment
- Proven ability to communicate technical, data-driven analysis to both technical and non-technical audiences across stakeholders
- Advanced degree (MS) in Statistics, Computer Science, Systems Engineering, or a related quantitative field (desirable)
- Commitment to inclusion and diversity
