Nuro is looking to hire a Data Scientist to enhance the development and operational performance of autonomous vehicle systems by defining key metrics, performing deep-dive analyses, and developing machine learning and statistical models.
Requirements
- 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
- Can play as end-to-end data scientist to manipulate the data for any reporting or modeling, build robust statistical analysis reports or dashboards, build models, and deliver the results to stakeholders
Responsibilities
- Define key metrics, perform deep-dive analyses, and develop machine learning and statistical models to optimize autonomy systems performance and software deployment.
- 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.
- 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, productionisation, documentation, and ongoing customer support.
- Develop and maintain visualization dashboards to monitor and analyze operational performance metrics, providing actionable insights,
Other
- MS required or PhD degree preferable in a Sciences major such as Statistics, Mathematics, Computer Science, Data Science, Operation Research or equivalent areas.
- Evangelize data-driven decision-making through the organization.
- Excellent communication skills.