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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; New York, NY, USA.
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).
About the jobGeo Consumer Data Scientists mission is to drive positive user and business outcomes at Geo by enabling and advocating data driven decision making. We partner closely across all functions to ensure that the teams work and ambition aligns with themes at the Geo level and to guide our investments in growing our data science capabilities.
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 .
Responsibilities - Lead Product Data Science for Reach Growth as a counterpart to a cross-functional team, enforcing measurement frameworks, owning experimentation, and conducting in-depth investigations to understand trends and steer product strategy.
- Identify and quantify opportunities to optimize key geospatial user journeys across entry points and ingress channels by performing logs-based analyses across data sources, running experiments, and influencing stakeholders.
- Model cross-Product Area user journeys and conduct analyses on evolving engagement dynamics to eliminate gaps in strategy across Google.
- Define and implement success metrics frameworks to enable cross-Product Area decision-making and measure the impact of new growth integrations. Present metrics and insights at executive reviews.
