Qualifications

• 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, working with many teams that use our systems to gate features and understand users. You will contribute to evolving Chrome into a more personalized and helpful user agent, integrating Google’s technology and adapting Chrome to meet the needs of users in their homes, workplaces, and beyond. You will work on an adopted product, influencing product and engineering directions, and 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, designing and evaluating 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‑project and team settings to identify and clarify business or product questions, providing feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Engineering and Information Technology

Google is proud to be an equal‑opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.