Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field
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 3 years of work experience with a PhD degree
Nice to Haves
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 6 years of work experience with a PhD 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 communication skills and ability to translate analysis results into business recommendations
Distinctive problem-solving skills and impeccable business judgment
What You'll Be Doing
Leverage advanced statistical methods on massive, complex datasets to extract insights
Develop and deploy automated solutions to address key strategic challenges
Analyze product and platform usage patterns, translating insights into actionable strategies
Collaborate with stakeholders to identify and clarify business questions
Design and evaluate models to solve defined problems
Perks and Benefits
Contribute to impactful work that shapes Chrome's decisions and innovations
Collaborate with diverse teams on cutting-edge capabilities and Generative AI
Work on evolving Chrome to be a more personalized and helpful user agent
Opportunity to deepen understanding of user needs and enhance user experiences