Senior Data Scientist, Chrome

Requirements:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
• 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.
• Excellent problem solving skills, with the ability to articulate product questions and pull data from datasets (e.g., SQL, BigQuery or equivalent technologies).

What You'll Be Doing:

• Leverage advanced statistical methods on datasets to extract insights from events and features across different organizational sources.
• 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 product strategy and engineering decisions.
• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer, and provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, design and evaluate models to express and solve defined problems.

Perks and Benefits:

• Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
• Google is an equal opportunity and affirmative action employer, committed to building a representative workforce and providing equal employment opportunities regardless of various factors.
• If accommodation is needed, applicants can complete the Accommodations for Applicants form.
• English proficiency is a requirement for all roles at Google, unless stated otherwise in the job posting.
• Google does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.