Senior Data Scientist
| Company | Aurora Innovation |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $162000 – $260000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- 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.
Responsibilities
- 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.
Preferred 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.