Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

On the Aurora Data Science team, you will join a world-class group whose mission is generating insights and intelligence to improve the Aurora Driver and help accelerate our path towards safe and broad commercialization of Autonomous Vehicle technology. We are looking for an exceptional Data Analyst that can play a key role in automating the monitoring and analysis of the safety performance of the Aurora Driver. This is an opportunity to leverage vast amounts of data from both internal and external sources to help Aurora achieve its safety and commercialization goals. 

The ideal candidate will be someone who thrives working cross-functionally, gets things done, and has an ability to navigate complex and exciting projects with our partner Safety, Vehicle, Hardware, and Software teams. If your passions align with working on cutting edge Data Science projects to deliver impactful analysis, tools, and workflows that will help transform transportation, then joining Aurora Data Science is the perfect opportunity for you.

In this role, you will

• Work with our safety and engineering teams to provide data tools and insights to continually improve the safety of the Aurora Driver
• Partner closely with those stakeholders to design and implement metrics and dashboards to help them measure, understand, and improve their safety performance
• Collaborate with a team of world-class Data Scientists and Analysts on Data Science & Analytics problems spanning multiple subsystems (eg. Vehicle Platforms, Hardware Systems, Fault Management System, and Autonomy)
• Collaborate with our Data Science and Engineering communities to ensure the adoption of best practices and suggest improvements

Required Qualifications

• 3-4 years of experience as a Data Analyst, Data Scientist or similar technical role
• Experience taking 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.
• Able to systematically approach open-ended questions to identify pragmatic data solutions that scale.
• Advanced knowledge and experience using relational databases (SQL, PostgreSQL, etc.) and familiarity with best practices for Data Engineering
• 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
• 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, including translating and cascading Executive input into their work

Desirable Qualifications 

• Advanced degree (MS) in Statistics, Computer Science, Systems Engineering, or a related quantitative field
• Experience using Amazon Web Services (AWS) tools
• Experience in the Autonomous Vehicles or other safety-critical systems industries

The base salary range for this position is $101-$162K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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