Senior Data Scientist

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. We are looking for a Data Scientist to partner with our Autonomy Long Tail and Autonomy Data Science and Operations Teams on this exciting journey.

In this role, you will

• Work with cross-functional teams of product managers, engineers, and data scientists to shape autonomy development priorities.
• Get to know the inner workings of Aurora’s autonomous vehicles.  Using this knowledge you will:
  • Leverage AI to develop next generation data mining techniques.
  • Develop production software to operationalize data processing and analysis pipelines.
  • Analyze the nature of future operational domains to give leadership and developers insight into new challenges.
  • Present insights to management, engineers, and fellow data scientists.
  • Create dashboards and other self-service reporting mechanisms.
• Work across a diverse range of projects where you will need to apply statistical analysis, machine learning, and problem modeling skills.

Required Qualifications

• BS, MS, or PhD in a relevant field.
• Strong knowledge and experience using relational databases (SQL, PostgreSQL, etc.).
• Proficiency in coding, programming concepts, and technical tools combined with the enthusiasm and passion to build.  Strong Python skills are a must.
• Knowledge of common data analysis, inference, and statistical modeling tools, (e.g., numpy, sklearn, etc).
• Superb analytical and problem solving skills, and an ability to deeply understand the "why" and "how" of what we are working on.
• Experience with taking Data Science analysis end-to-end, working closely with Engineering to productionize pipelines, and surface insights in a scalable way.
• Strong interpersonal and communication skills including the ability to communicate technical data-driven analysis to both technical and non-technical audiences and the ability to develop insightful visualizations to communicate data with stakeholders.
• Planning and organization abilities.

Desirable Qualifications 

• 2+ years in a Data Science role.
• Experience in a relevant industry showing a track record of research and analysis.
• Experience setting up ETL pipelines and leveraging big data engines.
• Ability to be a leader and mentor.  Committed to learning; someone who seeks to deliver impact, but also invests in themselves and others.

The base salary range for this position is $162K-$260K 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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