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.

What we are looking for

On the Aurora Data Solutions team, you will join a world-class group whose mission is generating insights and intelligence to improve the Aurora Driver and help accelerate our path towards safe and broad commercialization of Autonomous Vehicle technology. We are looking for an exceptional Data Analyst that can play a key role in accelerating the development of the Aurora Driver by contributing towards the automation, monitoring, and analysis of our development and operational processes. This is an opportunity to leverage vast amounts of data from both online (on-road) and offline (simulation) test modalities to help Aurora achieve its product and commercialization goals.

In this role you will

Develop reporting and analytics to optimize the value of the data we collect from our growing truck fleet

Work closely with data scientist teammates and cross-functional Software leadership to help assess and prioritize data sourcing efforts

Partner with Software teams to design and implement metrics and dashboards to accelerate their development processes and help them measure, understand, and improve performance

Collaborate with the larger Data Science & Analytics community to influence Aurora’s tooling ecosystem in support of data analytics work streams

Required qualifications

3-4+ years of experience as a Data Analyst, Data Scientist, Data Engineer or similar technical role

Experience taking Data Analytics projects end-to-end: synthesizing business needs, building data pipelines, adhering to high engineering rigor for safety-critical data products, and clearly communicating insights

Able to systematically approach open-ended questions to identify pragmatic data solutions that scale

Advanced knowledge and experience using relational databases (SQL, PostgreSQL, etc.) and familiarity with best practices for Data Engineering

Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools

Competent in Python, able to write readable code that others can easily interpret and build on

Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment

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 qualifications

Advanced degree (MS) in Statistics, Computer Science, Operations Research, or a related quantitative field

Experience with data science workflows such as classification, clustering, etc.

Experience in the Autonomous Vehicles, Robotics, or Advanced Transportation spaces

Experience using Amazon Web Services (AWS) tools

For roles based in Mountain View, CA and San Francisco, CA: The salary range for this position is $115,000- $184,000 per year.

For roles based in Pittsburgh, PA: The salary range for this position is $104,000 - $166,000 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.

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.