Product Data Scientist, Google Play Games

As a Data Scientist at Google, you will play a crucial role in serving Google's vast worldwide user base, which exceeds a billion people. Your primary responsibility will be to provide quantitative support, market understanding, and a strategic perspective to various partners within the organization. Your expertise in data analysis will help in extracting valuable insights, performing statistical analysis, and solving complex business problems. You will be an integral part of the team, leveraging your data skills to assist partners in making informed decisions. Your role will involve weaving stories from data to provide meaningful insights, enabling your colleagues in Engineering and Product Management to make critical recommendations. Whether tallying up numbers or communicating findings to team leaders, you will be a key player in driving data-driven decision-making processes. The Platforms and Devices team at Google focuses on various computing software platforms, both desktop and mobile environments, as well as first-party devices and services that integrate Google's AI, software, and hardware capabilities. Your contributions will involve researching, designing, and developing new technologies to enhance user interactions with computing, creating innovative experiences for users globally. Responsibilities will include collaborating across games spend and business generation, developer success, and the games ecosystem to enhance the understanding of the games business at Play. You will partner with various teams such as Games Data Science, Product Strategy, Product Management, Engineering, and User Experience to analyze user behavior, design experiments, and derive product insights to enhance user experiences. Effective communication of findings and recommendations to leadership levels will be crucial in shaping Play's investments in games. In this role, you will be required to develop a comprehensive understanding of the gaming industry, perform statistical analyses using tools like R or Python, extract data using SQL, and build pipelines and dashboards using various tools. Your ability to deliver compelling presentations and work collaboratively with cross-functional teams will be essential in driving product innovation and improving user experiences.,