Requirements:

Master's degree in Statistics, Economics, Engineering, Mathematics, or related quantitative field, or equivalent practical experience
7 years of experience with statistical data analysis and working with statistical packages (e.g., R or Python)
5 years of experience with data mining, querying, and managing analytical projects
3 years of experience developing and managing metrics or evaluating programs/products

Nice to haves:

PhD in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or related quantitative field
5 years of experience in scripting or statistical analysis (e.g., R, Stata, SPSS, SAS)
3 years of experience preparing and delivering technical presentations to executive leadership
Experience in scripting with SQL, extracting sets of data, and design of ETL flows
Experience in the areas of spam, abuse detection and measurement, and platform integrity
Ability to translate analysis results into business recommendations, with excellent written and verbal communication skills

Own the data science program for Messages Spam and drive relationships between data science and data engineering for the broader organization
Lead the design, analysis, and interpretation of product experiments related to Spam and business messaging
Provide analytical thought leadership through proactive and strategic contributions
Develop solutions, lead, and manage problems by framing problems, generating hypotheses, and making recommendations from an analytical perspective

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Equal opportunity and affirmative action employer commitment
Global collaboration and English proficiency requirement
Accommodations for applicants available upon request
Recruitment agencies: Google does not accept agency resumes