Python Programming, Google BigQuery, Looker, D3.js, Google Cloud Platform (GCP), seaborn, plotly
We're Cruise, a self-driving service designed for the cities we love.
We’re building the world’s most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.
About the role:
At Cruise, The Data Science team uses metrics and experimentation to close the loop between software development and real-world performance. We analyze thousands of miles of driving every day to provide trustworthy estimates of the safety and comfort of the rider experience. We attribute failures on the road to functional areas and software components so engineers can focus on the highest-impact solutions. And we evaluate the results of integration tests to predict how the solutions will perform on the road before investing in expensive on-road tests.
As a Data Science Manager, you will work directly with an array of stakeholders, including executive leadership, Autonomous Vehicle (AV) engineers, product managers, and operations teams.
The ideal candidate for this role is passionate about the AV Industry, has a track record of discovering insights from massive data, and works to discover and address customer needs through their output.
What you’ll be doing:
What you must have:
Bonus points:
Why Cruise?
Cruise LLC is an American self-driving car company headquartered in San Francisco, California. Founded in 2013 by Kyle Vogt and Dan Kan, Cruise tests and develops autonomous car technology. The company is a largely-autonomous subsidiary of General Motors.
San Francisco, CA, USA
0-2 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
0-2 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
0-2 year
San Francisco, CA, USA
8-10 year
Seattle, WA, USA
6-8 year
San Francisco, CA, USA
6-8 year
Sunnyvale, CA, USA
6-8 year
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
8-10 year
San Francisco, CA, USA
2-4 year