Data Scientist, Research, App Safety Engineering

As a Data Scientist at Google, you will play a crucial role in driving decision-making processes by utilizing your expertise in analytics and statistical methods. Your primary responsibility will involve processing, analyzing, and interpreting large datasets to identify opportunities for both Google and its clients to operate more efficiently. This could range from enhancing advertising effectiveness to optimizing network infrastructure to studying user behavior. Working alongside Engineers, Product Managers, Sales Associates, and Marketing teams, you will collaborate to implement necessary adjustments based on your analytical findings. It is not just about identifying problems; you will also be tasked with devising effective solutions that address the identified issues. The core mission of the team is to safeguard Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse. As a member of the App Safety Engineering (ASE) team, you will engage with various stakeholders across product, engineering, and operation teams. Your role will involve conducting data research, integrating methodologies into production systems to drive key decisions within ASE, and translating data insights into actionable recommendations and process enhancements. Your responsibilities will include working with diverse datasets, solving complex analysis problems, and applying quantitative methods as required. This will encompass the entire analysis process from data gathering and requirements specification to model development and evaluation. You will be expected to collaborate closely with stakeholders in Product Management, Engineering, and Operation teams to define objectives, metrics, and questions, and to implement quantitative methods to address these queries effectively. Additionally, you will be responsible for developing and refining methodologies and frameworks that serve as reliable measures for the organization. By establishing a deep understanding of production systems, you will advocate for necessary changes to facilitate product development and devise data-driven solutions to enhance operational efficacy.,