The role
From Google's own posting.
The Strategy and Analytics team for Google One acts as a critical partner to our leadership, enabling better business and product decisions, accelerating execution, and delivering insights to drive subscriptions growth. We drive growth in Google’s flagship AI Plus, Pro and Ultra subscriptions, anchored in storage and AI-powered experiences, that unlock the best of Google.
As a Senior Product Data Scientist, you will have a strong product, business, and analytical judgment to drive growth in our Google AI Plus, Pro, and Ultra subscriptions. Operating at the intersection of Product, Engineering, Finance and other cross-product area/cross-functional partners, you deliver the key insights needed to drive subscribers, AI product engagement, and business/margin growth for this critical product.
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 .
Perform analysis utilizing relevant tools. Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
Partner closely with PM and Engineering to deliver robust analytics/experimentation infrastructure and processes that deliver insights and decision-making at scale for Google One AI subscriptions growth and its XPA partners.
Identify complex business problems and come up with analytical solutions that improve our product and user experience.
Act as a product owner in partnership with stakeholders within the organization and cross-functional teams to create business cases for new investment, initiate changes in the product roadmap, and drive prioritization decisions.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of 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).
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.