Data Scientist Intern
About The Position
The Data Science team at Nuro is a centralized team and contributes advanced analytics and modeling expertise to enhance the development and operational performance of autonomous vehicle systems. As a Data Scientist 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’ll own the full model lifecycle, from problem definition to productionization, and create model and visualization to monitor the model and software 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.
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.
- Excellent communication skills.
Nice To Haves
- Experience on data visualization tools such as Looker.
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).
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
