Monitor Waze's performance against goals, analyze root causes of deviations, and provide executive leadership with data-driven insights for informed decision-making.
Collaborate on in-depth analytical projects, uncover insights to drive product enhancements and improve user experience. Ensure Waze and Geo are aligned on key metrics, identify proxy metrics, and guide the design of new metrics to provide a comprehensive view of driving behavior across platforms.
Drive efforts in leveraging next generation data science capabilities to address new problem areas.
Serve as a thought leader within Waze and beyond, using data analysis and business acumen to shape product roadmaps, measurement strategies, and drive strategic decision-making.
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years work experience with an advanced degree.
Preferred qualifications:
Advanced degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Proficiency with statistical packages (R or Python) to perform forecasting, segmentation, classification, and exploratory data analysis, in addition to gathering and processing data through standard querying languages (e.g., SQL).
Knowledge of statistics and commonly used statistical methods (e.g., hypothesis testing, regression, cohort analysis) and data visualization skills, including building dashboards and visualizations for business reviews and executive-level presentations.
Ability to translate product questions into problem solving frameworks and combining business acumen and statistics to arrive at an answer.
