Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.

~3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a Ph D degree.



5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a Ph D degree.

~2 years of work experience in data science or quantitative analytics with focus on statistical modeling, machine learning, and visualization.

~ Experience, education/training, or demonstrated interest in machine learning

~ Excellent problem-solving skills and business judgment, articulating product questions, pulling data from datasets (SQL, Big Query or equivalent technologies).

~ As a Data Scientist, you will have a unique opportunity to work across various teams to enhance Chrome's features and our understanding of user needs.

You will play a role in integrating Google's technology and adapting Chrome to meet the needs of users in their homes, workplaces, and beyond. Chrome is available across all major platforms — i OS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.

Develop and deploy automated solutions, ranging from SQL query automation to real-time Python classification and ML modeling, to address key strategic challenges.

Analyze intricate product and platform usage patterns, translating data-driven insights into actionable product strategy and engineering decisions.

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.