Research Data Scientist, Growth and Notifications

Google's Growth and Notifications Team (GaNT) Analytics is seeking a Research Data Scientist to join their dynamic team. This role sits at the intersection of data science, product analytics, and machine learning, focusing on shaping the future of growth and notifications across Google's major products including YouTube, Photos, and Maps.

The position offers a unique opportunity to work with massive datasets and impact billions of users worldwide. You'll be responsible for developing deep insights into what drives growth and engagement across the Google ecosystem, specifically analyzing notification satisfaction, user behavior, and product optimization.

As a Research Data Scientist, you'll collaborate closely with engineers, product managers, and cross-functional teams to translate complex business questions into actionable analyses. The role requires expertise in statistical analysis, experimental design, and programming, with a focus on using tools like Python and SQL to extract and analyze data.

The ideal candidate will combine strong technical skills with excellent communication abilities, as you'll need to present complex findings to various stakeholders and translate data insights into business recommendations. You'll work in a collaborative atmosphere where analysts and engineers work side by side to build products that meaningfully impact users.

This position offers the opportunity to work on challenging problems like identifying signals for notification satisfaction or harm, understanding user needs across devices, and optimizing user engagement. You'll be part of a team that values analytical excellence and uses data-driven decision-making to shape Google's business and technical strategies.

The role provides exposure to Google's cutting-edge technology stack and the chance to work with some of the world's most sophisticated data infrastructure. You'll be contributing to products that billions of people use daily, making this an excellent opportunity for someone who wants to make a significant impact at scale while working with industry-leading professionals in data science and analytics.