Business Data Scientist, Search Analytics
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Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Preferred qualifications:
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
In this role on the Search Analytics team, you'll work on a team tasked with forecasting Google Search usage and monitoring performance to surface the implications of performance trends with Search leadership.
We believe a ‘humans in the loop’ approach is paramount to strategic forecasting: combining time series methods with a deep knowledge of Search to capture what we expect of its future growth.
You will partner closely with Product Data Scientists and analytics teams across and outside of forecast, to identify the most important insights and drivers of our core business. You will bring together statistical forecasting and analysis of our data, deep intuition for our business, and consideration of emerging and external factors - all in service of developing the most informed view of what is driving our business and what that portends for our long term outlook.
Responsibilities
- Own the modeling and adjustment-making process for critical segments of Search usage, such as strategically-important countries and operating systems.
- Apply strong judgment and a variety of analytical techniques to bring the best understanding of Search usage trends (and their drivers) to influential forecast decisions and narratives detailing forecast performance.
- Serve as a mentor to others on the team in terms of forecasting and reporting, providing support and coaching others when needed.
- Support the development of analytical tools and processes in service of forecasting and executive insights.
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