Staff Data Scientist

Key Skills

AWS, Data Analysis, Data science techniques, Effective communication skills, ETL frameworks, PostgreSQL, Python Programming, SQL

Job Description

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 analysis, 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 and product leads to support their decisions with data-driven input
• Collaborate with our Data Science and Analytics communities to ensure the adoption of best practices, tools, and processes across the company

Essential Qualifications

• 5+ years of industry experience as a Data Scientist, Analyst or similar technical role
• Demonstrable expertise in coding, programming concepts, and technical tools, combined with the enthusiasm and passion to build. Must be expert at using Python
• Advanced knowledge and experience using relational databases (SQL, PostgreSQL, etc.) and knowledge of best practices for Data Engineering
• Strong understanding of both common and advanced Data Science modeling tools and technologies (eg. numpy, sklearn, pytorch, etc.)
• Experience driving Data Science analysis end-to-end, working closely with Engineering and Product to productionize pipelines, surfacing insights scalably
• Experience driving cross functional alignment across major technical programs
• 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

• 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 $170k-$272K 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.