Data Scientist, Product, Googler Technology and Engineering

Google is seeking a Data Scientist to join their Googler Technology and Engineering team, focusing on leveraging data and machine learning to improve enterprise operations. This role combines technical expertise in data science with business impact, serving Google's massive user base of over a billion people. The position requires strong analytical skills, machine learning knowledge, and the ability to translate complex data insights into actionable recommendations.

As a Data Scientist, you'll work at the intersection of analytics and machine learning, developing models and insights that drive decision-making across the organization. You'll collaborate with Engineering and Product Management teams, providing quantitative support and strategic perspectives. The role involves the full spectrum of data science work, from problem definition and metrics development to model creation and deployment of generative AI solutions.

The ideal candidate brings a strong quantitative background with at least 5 years of experience in analysis and coding. You'll need expertise in Python, R, and SQL, along with a deep understanding of statistical analysis and machine learning. This position offers the opportunity to work on challenging problems at scale, implementing solutions that directly impact Google's operations and services.

This role is perfect for someone who combines technical excellence with strong communication skills, as you'll be responsible for both developing complex analyses and presenting findings to stakeholders. You'll be part of a team that's pushing the boundaries of what's possible with data science and machine learning in an enterprise context, while working for one of the world's leading technology companies.