Data Scientist, Research, Google Maps, Growth
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Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 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.
Preferred qualifications:
- 5 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.
About the job
In this role, your mission is to drive positive user and business outcomes at Geo by enabling and advocating data driven decision making. You will partner across all functions to ensure that the teams work and ambition aligns with top level themes at the Geo level (and beyond) and to guide the investments in growing the data science capabilities.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Responsibilities
- Lead the design and development of a sophisticated recommendation engine to personalize notification targeting and optimize Calls-to-Action (CTAs).
- Develop and implement novel methodologies to determine the incremental real-world visits driven by ML-based targeting systems.
- Partner with engineering teams to design and build the next generation of infrastructure for targeting and serving notifications, leverage your deep expertise in ML and recommender systems. Drive deep, cross-functional partnerships with teams across Google—including the Google Notification Platform (GNP), User-Generated Content (UGC), and Consumer to align on strategy and execute complex projects.
- Conduct in-depth data analysis and run large-scale experiments to identify new growth opportunities and validate the performance of your models and systems.
- Define and own the key success metrics for the notification ecosystem, present insights and progress to leadership and stakeholders to inform the long-term roadmap.
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