Staff Data Scientist

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.

The Data Science and Analytics team is dedicated to building metrics and models to explain and diagnose the performance of our AV technology. Our team guides strategic decision making through statistical analysis and experimentation, and improves the AV stack with data driven models, decision thresholds, and simulation testing. As a Staff Data Scientist you’ll be responsible for building and evaluating simulations of millions of miles of autonomous driving using the most advanced cloud technologies, in-house simulation frameworks, and data modeling tools.

 

What you’ll be doing:

As a Staff Data Scientist, you will work directly with an array of partners, including executive leadership, Autonomous Vehicle (AV) engineers, product managers, and operations teams.

As a leader, you will demonstrate and develop team-building skills by:

• Defining success criteria from ambiguous problem statements

• Defining the roadmap for your product area

• Mentoring fellow Data Scientists and fostering a positive, collaborative work environment

• Role-modeling a humble, positive, and growth-oriented attitude

• Translating complex concepts into clear and meaningful recommendations for partners.

As an individual contributor, you will be responsible for extracting high-impact insights from our extensive collection of on-road and simulation data by:

• Understanding the tradeoffs associated with common machine learning model architectures

• Debugging model outliers/edge cases

• Measuring model uncertainty

• Analyzing model performance and feature importance

• Analyzing AV behavior changes exposed in driving and simulation, and uncovering the source of those changes

• Deploying production systems that deliver continuous insights

• Quantifying the impact of using statistical methods, data mining, and experimental design principles

• Collaborating with team members to build shareable tools, methods, and dashboards

• Converting insights into concrete, significant recommendations for business or product improvement, and succinctly communicate these findings to various partners and leadership

The ideal candidate for this role is passionate about the AV Industry, has a track record of discovering insights from extensive data, and works to discover and address customer needs through their output.

What you must have:

• A Masters or PhD degree or equivalent experience.

• 7+ years post-academic experience in data science, machine learning, or a closely-related field.

• Significant statistical experience in data-intensive on-line systems. Examples include real-time metrics tracking systems and A/B testing methodologies.

• Experience deploying feature and model pipelines at scale, and monitoring model performance.

• Experience designing, training, and critically analyzing ML models for big data.

• Experience developing and maintaining automated reporting tools for management and other partners.

• Productive in both SQL and Python.

• Creative, inventive, and passionate about seeking new solutions to problems and opportunities

• A track record of leading multi-functional initiatives

• Experience in advising leadership at the director, VP and CTO level on technical strategy and tech teams talent needs.

Bonus Points!

• Experience with MapReduce frameworks (Hadoop, Spark, BigQuery) and/or Apache Beam/Google Dataflow

• Experience with Deep Learning and statistical analysis of ML models

• Experience in AV or Automotive industry

 

The salary range for this position is $175,500 - 229,200. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units,