Business Data Scientist, Subscriptions and Customer Growth (English, Spanish)
Job Description
Google is seeking a Business Data Scientist to join their Subscriptions and Customer Growth Marketing team, focusing on driving consumer apps and subscription growth for products like Gemini, Pay/Wallet, and Shopping. This role combines advanced analytics with strategic business impact, requiring expertise in SQL, statistical analysis, and data visualization. The position involves understanding and optimizing the usage and subscription lifecycle, leveraging data to drive user acquisition, engagement, and retention strategies. The ideal candidate will work at the intersection of data science and business strategy, using their analytical skills to uncover insights that shape product improvements and marketing decisions. Working in Mexico City, this role requires bilingual proficiency (English/Spanish) and offers the opportunity to impact Google's subscription-based products through data-driven decision making. The position combines technical expertise with business acumen, requiring both strong analytical capabilities and the ability to communicate insights effectively to various stakeholders.
Responsibilities For Business Data Scientist, Subscriptions and Customer Growth (English, Spanish)
- Conduct in-depth analysis of user and subscriber behavior, identify trends, and uncover insights that drive product improvements and marketing strategies
- Create informative reports and dashboards to track key usage metrics and communicate findings to stakeholders
- Collaborate with cross-functional teams to design and implement A/B tests to evaluate the impact of product changes on business outcomes
- Build models to predict user churn, identify at-risk subscribers, and forecast future user trends
- Work with product managers, marketers, and engineers to translate data insights into recommendations
Requirements For Business Data Scientist, Subscriptions and Customer Growth (English, Spanish)
- Master's degree in Statistics, Engineering, Sciences, or equivalent practical experience
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
- Ability to communicate in English and Spanish fluently to interact with local stakeholders
