Research Data Scientist, Growth and Notifications

ly understood insights.

• Excellent problem-solving and critical thinking skills.

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

As a key member of the team, you work with engineers to analyze and interpret data, develop metrics to measure results and integrate new methodologies into existing systems.

Growth and Notifications Team (GaNT) Analytics is all about data, quality and teamwork. Engineers work side by side with analysts and product in a collaborative atmosphere to build products that affect users.

The GaNT Analytics Team works to shape the future of growth and notifications across Google's products like YouTube, Photos, and Maps through developing a deep understanding of what drives growth and engagement across the Google ecosystem. Specifically, we look at problems like: What are signals for notification satisfaction or harm? What information is most useful to users on new devices, and much more.

Responsibilities

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
• Define and evaluate experiments and contribute to a wide variety of research projects using statistical analysis and modeling.
• Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for investigative needs.