Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
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 $146K-$234K 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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Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.
Commitment to inclusion
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
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What We Do
Founded in 2017 by experts in the self-driving industry, Aurora is on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. To move both people and goods, the company is building the Aurora Driver, a platform that brings together software, hardware and data services to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is backed by Sequoia Capital, Baillie Gifford, funds and accounts advised by T. Rowe Price Associates, among others, and is partnered with industry leaders including Toyota, Uber, Volvo, and PACCAR. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Dallas. The company has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Wixom, MI. To learn more, visit aurora.tech.
Aurora is backed by Amazon and Sequoia, among others, and has partnerships with leading transportation companies including PACCAR, Uber, FCA, and Hyundai Group. It tests its vehicles in the Bay Area, Pittsburgh, and Dallas and has offices in those cities as well as in Bozeman, Seattle, Denver, and Detroit.
Aurora hires people who want to build the future of transportation.
Join us!
