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Data Scientist, Product, Play Monetization

Global technology company that specializes in internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Data Scientist, Product, Play Monetization

Google is seeking a Data Scientist to join their Play Monetization team, focusing on driving product insights and improving user experiences. This role combines technical expertise in data science with business impact, requiring strong analytical and communication skills. The position involves working closely with Product Managers, Engineering, and UX teams to analyze user behaviors and drive data-informed decisions. The ideal candidate will have extensive experience in statistical analysis, machine learning, and data pipeline development, with the ability to translate complex findings into actionable insights. This role offers the opportunity to impact Google's worldwide user base of more than a billion people, working on meaningful projects that shape product development and user experience. The position requires both technical proficiency in tools like Python, R, and SQL, as well as the ability to communicate effectively with various stakeholders. Working at Google provides the chance to collaborate with industry-leading professionals in a company known for innovation and technical excellence.

Last updated 2 days ago

Responsibilities For Data Scientist, Product, Play Monetization

  • Partner with Play/Apps teams to understand user behaviors, design and analyze experiments
  • Act as a thought partner to produce insights and metrics for stakeholders
  • Deliver effective presentations of findings and recommendations
  • Create scalable data pipelines and models
  • Develop and automate reports, build and prototype dashboards

Requirements For Data Scientist, Product, Play Monetization

Python
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
  • 5 years of experience with analysis applications and coding (Python, R, SQL), or 2 years with a Master's degree
  • Experience with classification and regression, prediction and inferential tasks
  • Experience in developing machine learning models and A/B Testing
  • Experience with data infrastructure and Analytics pipelines

Benefits For Data Scientist, Product, Play Monetization

  • Equal Employment Opportunity

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