Staff Data Scientist Core, Marketplace

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.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. 

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. 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, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

2023 is a big year for Cruise. We are expanding to numerous cities and onboarding many new customers to our ride-hail and delivery products. In order to use its vehicles efficiently and provide a delightful experience, Cruise would need to build a robust modeling and algorithmic infrastructure in areas such as dispatch, pricing, demand prediction, charge management, vehicle positioning, routing and other. Unlike traditional ride-hailing and delivery companies, Cruise determines what each vehicle does at every second of the day. This level of control allows for a much higher level optimization, while bringing about exciting challenges at the fore-front of operations research.

The Marketplace Data Science team is looking for a strong data scientist with a background in operation research and technical leadership experience who is eager to tackle these challenges. Initially this role will focus on optimizing Cruise’s dispatch and facility automation systems. 

 

WHAT YOU’LL BE DOING:

As a Staff Data Scientist - Core, you will work directly with an array of partners, including executive leadership, service 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 road map for your product area

• Collaborating with engineering teams on defining joint roadmaps

• 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:

• Analyzing our system performance (such as dispatch or pricing) to extract insights and opportunities for optimization. 

• Developing new machine learning models and optimization algorithms that integrate with our online services

• Deploy and test your methods in our simulation environment

• Contribute new features to our ride-hail and delivery simulators

• Deploy your methods in a production environment either in our online services or scheduled pipelines

• Quantifying the impact of changes to commercial systems 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

 

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 experience in successfully deploying optimization algorithms in production environments.

• Statistical experience in data-intensive on-line systems 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.

• Rich experience in both SQL and Python

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

• A track record of