Data Scientist Intern

Nuro • Mountain View, CA

10d

About The Position

Nuro is seeking a Data Scientist Intern to join their Data Science team. This team contributes advanced analytics and modeling expertise to enhance the development and operational performance of autonomous vehicle systems. As an intern, you will define key metrics, perform deep-dive analyses, and develop machine learning and statistical models to optimize autonomy systems performance and software deployment. You will own the full model lifecycle, from problem definition to productionization, and create models and visualizations to monitor model and software performance, delivering actionable insights. By fostering data-driven decision-making across the organization, you will play a pivotal role in enabling real-world autonomous vehicle operations.

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.

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).

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed