Job description

Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver aurora.tech 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 aurora.tech or follow us on LinkedIn linkedin.com. 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. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page aurora.tech provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom aurora.tech. Our commitment to safety 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. Our 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 careersiteaccommodations@aurora.tech. 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.

Requirements

Must-haves

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
Working at Aurora
Our Careers page https://aurora.tech/careers provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom https://aurora.tech/newsroom.
Our commitment to safety
Our commitment to inclusion
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonaws

Platform: ashby
Effort: quick