Data Scientist Intern

Responsibilities

• 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.
• Build out the team AI strategy with team leads into functional code, configurations, minimum viable products (MVPs) of internal AI tools based on pre-defined architectural guidelines (e.g., setting up the specific CI/CD pipelines, or writing the exact API integrations required).

Requirements

• Current BS, MS, or PhD candidate in Statistics, Mathematics, Computer Science, Data Science, Operation Research or a related field.
• 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.
• Experience on data visualization tools such as Looker.
• Excellent communication skills.