Data Scientist - Simulation
Mountain View, California
Applications have closed
Aurora Innovation
Aurora is building self-driving technology that will revolutionize the future of transportation.Who We Are
Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly. Founded in 2017 by experts in the self-driving industry, Aurora is revolutionizing transportation – making it safer, increasingly accessible, and more reliable and efficient than ever before. Its flagship product, the Aurora Driver, is a platform that brings together software, hardware, and data services, to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is partnered with industry leaders across the transportation ecosystem including Toyota, Volvo, PACCAR, Uber, Uber Freight, FedEx, and U.S. Xpress. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Texas and has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Detroit, MI. To learn more, visit www.aurora.tech.
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’re searching for a Data Scientist on our Simulation and Offline Testing Team. This team supports fast and safe development of our Aurora Driver. We build the technology for producing realistic virtual interactions at scale, modeling the physics and behaviors of agents in the world, and gaining and presenting insights using our rich simulation data.
In this role, you will
- Correlate performance of the Aurora Driver on-road with simulation data
- Analyze coverage of simulation scenarios
- Understand Aurora Driver performance from simulation metrics
- Guide the design of Simulated and real-world driving experiments to efficiently understand the gaps between achieved system performance/safety and desired targets
- Surface succinct, actionable data widely in regularly updated dashboards
- Ensure Autonomy Engineers are supported with data necessary to make timely, informed decisions
- Discover and analyze relevant information from multiple large data sets to further Aurora's mission of delivering Autonomous Vehicle technology Safely, Quickly and Broadly
- Identify, utilize, or create as appropriate the needed technical machinery for large scale data analysis and visualization
Required Qualifications
- MS or PhD in Statistics, Operations Research, Economics, Computer Science, or a related field
- Experience with design of experiments (e.g. A/B tests, ANOVA)
- Strong mathematics skills (e.g., statistics, algebra)
- Ability to communicate complex data in a simple, actionable way
- Practical knowledge of common data analysis, inference, and statistical modeling tools, using Python and SQL
- Passion for solving challenging, impactful problems
- Proven track record of solving difficult problems
- PhD and 3+ years of experience or MS and 10+ years of experience
Desirable Qualifications
- Previous experience in Data Science in the Autonomous Vehicles space
- Experience architecting data and software systems to facilitate reliable analysis at scale
- Practical experience with Sisense (formerly known as Periscope Data) or similar data visualization and analysis tools.
- Experience with machine learning and AI
- Practical experience with software test methodologies and test engineering
#LI-CB1
#Mid-Senior
Working at Aurora
At Aurora, we bring together people with extraordinary talent and experience united by the strength of our values. We operate with integrity, set outrageous goals, and continue to build a culture where we win together—all without any jerks.
We have offices in 8+ locations across the United States. We offer a competitive benefits package to qualifying employees. Our Career Page includes everything you need to know about working at Aurora.
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
We believe that self-driving technology has broad benefits – including an increase in safety and access to transportation – and to achieve those benefits, we want and need a workforce with diverse experiences, insights, and perspectives; said another way, a workforce that reflects the communities and people our technology will benefit. You can find all the latest news on our Blog
Individuals seeking employment at Aurora are considered without regard to 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Data analysis Data visualization Economics Engineering Machine Learning Mathematics Periscope PhD Physics Python Research SQL Statistical modeling Statistics Testing
Perks/benefits: Career development Flex vacation
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