Data Scientist, Product, Google Photos

Google Photos is seeking a Data Scientist to join their Product team, where you'll play a crucial role in driving data-driven decisions that impact billions of users worldwide. This position combines advanced analytics with strategic thinking to improve product outcomes and user experiences.

As a Data Scientist at Google, you'll work at the intersection of big data and product development, utilizing your expertise in statistical analysis, data mining, and experimental design to drive meaningful insights. You'll collaborate closely with Product Management and Engineering teams to build robust analytics infrastructure and support data-driven decision-making at scale.

The role requires strong technical skills in SQL, Python, and R, combined with the ability to translate complex data findings into actionable insights. You'll be responsible for managing critical business questions, building dashboards, and maintaining analytical datasets while working on improving key metrics that directly impact product success.

What makes this role particularly exciting is the opportunity to work with Google's massive user base and contribute to products that affect billions of people. You'll be part of the team that drives business outcomes through automation and platforms, working with cutting-edge ML technologies and sophisticated analytical tools.

The ideal candidate will bring a strong quantitative background with a Master's degree in a relevant field, along with 5+ years of experience in data analysis. You'll need to be comfortable with experimental design, including A/B testing and Bayesian methods, and have experience working with unstructured data to solve open-ended business problems.

This position offers the chance to work with world-class teams, access to Google's extensive resources and tools, and the opportunity to make a significant impact on products used globally. You'll be part of an inclusive culture that values diversity and innovative thinking, while working on challenging problems that require both technical expertise and creative problem-solving skills.