Data Science Manager

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

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 in ternal 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.

The Data Science team uses metrics and experimentation to close the loop between software development and real-world performance. We ana lyze 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 will be doing:

• Growing and developing multiple teams of data scientists and analysts with diverse technical backgrounds
• Setting the topline metrics and experimentation strategy for Cruise
• Designing and implementing a data solutions service model for engineering and product stakeholders
• Partnering with Data Engineering, Product Engineering, and Machine Learning Infrastructure teams to optimize data pipelines
• Drive Data Science best practices both within your team, and fostering a healthy and collaborative culture
• Serve as an embodiment of our values

What you must have:

• Experience managing multiple, high output teams in Data Science or Analytics
• 5+ years experience in metrics, experimentation, and analytics
• Expert knowledge of common statistical analyses (e.g. frequentist hypothesis testing)
• Creative, resourceful, and enthusiastic about seeking new solutions to problems and opportunities
• A track record of leading cross-functional initiatives
• Familiarity with advanced techniques including Bayesian and sequential testing, causal inference, and graphical modeling
• Experience in advising leadership at the director, VP and CTO level on Data driven decision making

Apply Online at Cruise