Sr. Data Scientist

Who We Are 

Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today. 

Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven.

About the Team

The Data Science team contributes advanced analytics and modeling expertise to enhance the development and operational performance of autonomous vehicle systems.

About the Role

As a Sr. Data Scientist, you will define key metrics, perform deep-dive analyses, and develop machine learning and statistical models to optimize fleet management and deployment. You’ll own the full model lifecycle, from problem definition to productionization, and create visualization dashboards to monitor performance and deliver actionable insights. By fostering data-driven decision-making across the organization, you’ll play a pivotal role in enabling real-world autonomous vehicle operations.

About the Work

• Collaborate closely with cross-functional teams to collect information and work on defining metrics.
• Perform deep-dive analysis that informs how we manage and deploy our fleet of autonomous vehicles.
• Design and build machine learning and statistical models that will take Nuro from vehicle testing to operating a service.
• Own all stages of model development: problem definition, assessment of data quality, mathematical research, productionization, documentation, and ongoing customer support.
• Develop and maintain visualization dashboards to monitor and analyze operational performance metrics, providing actionable insights,
• Evangelize data-driven decision-making through the organization.

About You

• ​​MS required or PhD degree preferable in a Sciences major such as Statistics, Mathematics, Computer Science, Data Science, Operation Research or equivalent areas.
• 3+ years of industry experience in statistical estimation, performing analyses that inform decision-making (For PhD, 2+ years working experience in industry)
• Hands-on experience with standard statistical methods such as linear and logistic regression, SVM, confidence intervals, and significance testing, along with expertise in causal inference analysis.
• Expertise in writing custom SQL and experience with database design;
• Knowledge of a scripting language (R or python) to manipulate and analyze data and develop statistical models;
• Sound statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders.
• Experience designing metrics and building mechanisms to fuel business insights.
• Excellent communication skills.

Bonus Points

• Looker experience

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $152,000 and $228,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.