• Masters 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 PhD degree.

Preferred qualifications:

• 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 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 problem-solving skills and business judgment, with ability to articulate product questions and pull data from datasets (SQL, BigQuery or equivalent technologies).
• Excellent written and verbal communication skills and ability to translate analysis results into business recommendations.

About the job

Chrome is a consumer, developer and enterprise facing product and platform with billions of users. Data insights and metrics are a part of making decisions about Chrome. In this role, you will have a tremendous impact throughout Chrome, as you will have the opportunity to work with many teams that use our systems to gate features and understand users.

As a Data Scientist, you will have a unique opportunity to work across various teams to enhance Chromes features and our understanding of user needs. You will contribute to evolving Chrome into a more personalized and helpful user agent. You will play a role in integrating Googles technology and adapting Chrome to meet the needs of users in their homes, workplaces, and beyond. In addition to our consumer and enterprise users, we are dedicated to improving and optimizing both the standalone app and web experiences through capabilities and Generative AI. You will work on an adopted product, influencing product and engineering directions. You will directly impact users by informing feature development and user understanding.

Responsibilities

• Leverage advanced statistical methods on datasets to extract insights from events and features across organizational sources.
• Use custom data infrastructure or existing data models as appropriate, using specialized ideas. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Develop and deploy automated solutions, ranging from SQL query automation to real-time Python classification and ML modeling, to address key issues.
• 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. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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