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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
Preferred qualifications: - Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences across different levels.
- Excellent problem-framing, problem-solving and team collaboration skills.
Responsibilities - Conduct analysis and define launch criteria for important launches, designing, implementing, and analyzing experiments to measure the impact of new features and product changes, ensuring we make data-driven decision.
- Drive exploratory analysis and user understanding, user behavior patterns, and identifying, sizing and articulating new opportunities for Discover.
- Work with cross-functional teams (Product Management, Engineering, UXR, Design) on launch analysis, product iteration, and impact quantification.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
