Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling trucks to ride-hailing passenger vehicles, and underpins Aurora Horizon and Aurora Connect, its driver-as-a-service products for trucking and ride-hailing. Aurora is working with industry leaders across the transportation ecosystem, including Toyota, FedEx, Volvo Trucks, PACCAR, Uber, Uber Freight, U.S. Xpress, Werner, Covenant, Schneider, and Ryder.

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 accelerating the development of the Aurora Driver by contributing towards the automation, monitoring, and analysis of our development and operational processes. This is an opportunity to leverage vast amounts of data from both online (on-road) and offline (simulation) test modalities to help Aurora achieve its product and commercialization goals.

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

In this role, you will

• Work with our Engineering teams to inform the development of the Aurora Driver and streamline critical validation activities
• Partner closely with those stakeholders to design and implement metrics and dashboards to accelerate their development processes and help them measure, understand, and improve their performance
• Influence Aurora’s tooling ecosystem to support data analytics work streams.
• Collaborate with a team of world-class Data Scientist and Analysts on Data Science & Analytics problems spanning multiple subsystems (eg. Motion Planning, Perception, Controls, etc.)
• Work closely with engineering leads to support their decisions with data-driven input
• Collaborate with our Data Science and Engineering communities to ensure the adoption of best practices and suggest improvements

Required Qualifications

• 6+ years of experience as a Data Analyst, Data Scientist, Data Engineer or similar technical role
• Experience technically leading and mentoring in the data and analytics space
• Experience taking Data Analytics projects end-to-end: synthesizing business needs, building required data pipelines, analyzing data, and clearly presenting insights.
• Expert knowledge and experience using relational databases (SQL, PostgreSQL, etc.) and familiarity with best practices for Data Engineering
• Advanced 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 or PhD) in Statistics, Computer Science, Operations Research, Economics, or a related quantitative field
• Experience using Amazon Web Services (AWS) tools
• Experience in the Autonomous Vehicle, Robotics, or Advanced Transportation spaces