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 Scientist 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 and Operations 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
• Collaborate with a team of world-class Data Scientist and Analysts on Data Science problems spanning multiple subsystems (eg. Motion Planning, Perception, Controls, etc.)
• Develop statistical models to support forecasting and planning across a variety of problem areas
• Work closely with engineering, operations, and business 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

• 2-4 years of experience as a Data Scientist, Analyst or similar technical role
• Demonstrable proficiency in coding, programming concepts, and technical tools, combined with the enthusiasm and passion to build. Must be strong using Python
• Strong knowledge and experience using relational databases (SQL, PostgreSQL, etc.) and familiarity with best practices for Data Engineering
• Knowledge and experience with both common and advanced Data Science, inference, and statistical modeling tools (eg. numpy, sklearn, pytorch, etc.)
• Experience with taking Data Science analysis end-to-end, working closely with Engineering to productionize pipelines, and surface insights in a scalable way
• 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 working with data transformation tools such as DBT
• Experience working on ETL pipelines and leveraging big data engines 
• Experience using Amazon Web Services (AWS) tools
• Experience in the Autonomous Vehicle, Robotics, or Advanced Transportation spaces

The base salary range for this position is $168k-$252K 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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#Mid-Senior