Product Data Scientist, Google Play App

About the role

Google Play provides apps, games, and digital content services that bring Android devices to life, serving over three billion users worldwide. This team is truly embedded in the product development lifecycle—acting as thought partners from ideation to experimentation, delivering strategic insights, and building unified data foundations. As a Data Scientist for the Google Play Apps team, you will be the core investigative driver for product strategy and business growth. You will partner with engineering, product management, and UX stakeholders to support Google Play engagement.

Responsibilities

• Perform analysis by utilizing relevant tools (e.g., SQL, R, Python).
• Use comprehensive technical knowledge, use custom data infrastructure or existing data models.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Format, re-structure, and validate data to ensure quality.
• Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team.
• Translate analysis results to business insights or product improvement opportunities.
• Provide insights and recommendations to influence product feature development decisions, with some guidance.
• Partner with engineering, product management, and other Play/Apps stakeholders to inform product strategy, influence decisions with insights, and establish success frameworks.

Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.

Qualifications

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
• Experience in user engagement domains.
• Experience in online App Store ecosystems or digital marketplaces.

Skills

• Comprehensive technical knowledge.
• Custom data infrastructure or existing data models.
• Data aggregation and validation skills.
• Insight translation and recommendation generation.
• Product strategy and decision-making influence.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits

Pay

US: $138000 - $198000 (USD)

Schedule

N/A