Senior Product Data Scientist, Geo Data Science, Waze
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Minimum qualifications:
- 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.
About the job
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
The Geo Data Science team for Waze is at the forefront of Waze's strategic direction, providing the executive team and other leaders with the data, insights, and recommendations that shape the Waze product. We harness the power of advanced data science capabilities to extract meaningful insights and provide strategic guidance for both short-term and long-term product and business decisioning. This is a high-visibility, high-impact area where your expertise will have a direct and significant influence on Waze's roadmap.
In this role, you will be responsible for delivering fast-paced, data-driven insights that fuel critical product and business decisions. You will conduct ad-hoc analyses to investigate user behavior, identify product opportunities, and surface key findings that will directly inform Waze's roadmap. You will collaborate closely with Product Managers, Program and Operations Managers, Marketing Managers, and other Data Scientists to handle unique and challenging problems at the core of the Waze product.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of today’s maps.
Responsibilities
- Lead process for setting data-driven goals, develop forecasting models to predict growth, and assess impact of high-priority growth initiatives and develop a long-term plan for enhancing Waze's attribution methodologies.
- 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.
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