Product Data Scientist, Geo Data Science, Waze

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field or equivalent practical experience.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).
  
  

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
• Experience with statistical packages (e.g., R, Python, etc.) to perform forecasting, segmentation, classification, and exploratory data analysis.
• Experience articulating product questions, pulling data from datasets (SQL), and using business acumen and statistics to determine solutions.
• Knowledge of basic statistics and commonly used statistical methods.
• Excellent data visualization skills, including building dashboards and visualizations for business reviews and executive-level presentations.
  
  

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 (GeoDS) Waze team is at the forefront of Waze's direction, providing the executive team and other leaders with the data, insights, and recommendations that shape the Waze product. We use 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 fluid, data-driven insights that help in 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 resolve test issues 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

• Monitor Waze's performance against goal, analyze root causes of deviations, and provide executive leadership with data-driven insights for informed decision-making.
• Manage process for setting data-driven goals, develop forecasting models to predict growth, and assess impact of growth initiatives and develop a long-term plan for enhancing Waze's attribution methodologies.
• Collaborate on in-depth investigative 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.
• Utilize cutting-edge technology to address new problem areas, including text analysis, segmentation, and descriptive data analysis.
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .