Full-Time

Senior Data Scientist

Posted on 5/9/2024

Aurora Innovation

Aurora Innovation

1,001-5,000 employees

Develops autonomous driving systems for vehicles

Industrial & Manufacturing
Data & Analytics
Hardware

Senior

San Francisco, CA, USA

Required Skills
Python
Data Science
SQL
Postgres
NumPy
Requirements
  • 2-4+ years of experience as a Data Scientist, Analyst or similar technical role
  • Demonstrable proficiency in coding, programming concepts, and technical tools, combined with the enthusiasm and passion to build. Must be strong using Python
  • Strong knowledge and experience using relational databases (SQL, PostgreSQL, etc.) and familiarity with best practices for Data Engineering
  • Knowledge and experience with both common and advanced Data Science, inference, and statistical modeling tools (eg. numpy, sklearn, pytorch, etc.)
  • Experience with taking Data Science analysis end-to-end, working closely with Engineering to productionize pipelines, and surface insights in a scalable way
  • 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
Responsibilities
  • Work with Engineering and Operations teams to inform the development of the Aurora Driver and streamline critical validation activities
  • Design and implement metrics and dashboards to accelerate development processes and help measure, understand, and improve performance
  • Collaborate with a team of Data Scientists and Analysts on Data Science problems spanning multiple subsystems
  • Develop statistical models to support forecasting and planning across various problem areas
  • Support decisions with data-driven input by working closely with engineering, operations, and business leads
  • Ensure adoption of best practices and suggest improvements by collaborating with Data Science and Engineering communities

Aurora is developing the Aurora Driver, an intelligent autonomous driving system designed for multiple vehicle types, including freight-hauling trucks and ride-hailing passenger vehicles. The technology incorporates a fusion of sensor types, high definition mapping data, and continuous training on public roads and in virtual tests to ensure safe and efficient autonomous transport.

Company Stage

IPO

Total Funding

$5.4B

Headquarters

Mountain View, California

Founded

2017

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-10%

2 year growth

16%

Benefits

Medical, Vision, Life Insurance

Paid leave

Vacation, Holidays & Sick Time

LinkedIn Learning

Aurora Academy

401(k)

Commuter Benefits

Flexible Spending Account

Onsite Food

PerkSpot

Working from Home Support

Emotional & Physical Wellness

Employee Assistance Program