Data Scientist, Product, Waze
Tel Aviv, Israel
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- Candidates will typically have 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
- Experience with statistical data analysis, data mining, and querying (e.g., SQL).
- Experience managing investigative projects.
Preferred qualifications:
- Experience in A/B testing and causal inference.
- Experience in coding with the Google Cloud Platform.
- Experience in team management.
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 Waze Growth Data Science team is responsible for the product analytics and data science needs of multiple functional areas and domains in Waze, including growth and strategy, user journey and driving experience, map and community.
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.
Waze is also a household name in Israel, and joining our team is an opportunity to be part of local history and be part of a passionate team and community working to change the way our cities move and make every drive smarter and safer.Responsibilities
- Conduct data analysis to make product recommendations (A/B testing, impact analysis, cohort analysis, user personas, forecasting, etc.).
- Define and measure the right KPIs and targets for new product features and business activities. Monitor performance and provide advice on any necessary changes or optimizations of the product and business activities.
- Design, develop and automate reports and dashboards to provide insights at scale, for problem-solving needs.
- Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
- Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, including senior management and create visual displays of quantitative information.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Causal inference Data analysis Data Mining Economics Engineering GCP Google Cloud KPIs Mathematics PhD Physics Python R Research SQL Statistics Testing
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