Senior Data Scientist, Product, Google Store

Google is a global technology company serving over a billion users worldwide with various products and services.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Scientist, Product, Google Store

Google is seeking a Senior Data Scientist to join their Product team for the Google Store. This role combines technical expertise with strategic thinking to drive data-informed decisions across the organization. As a data scientist, you'll work with a massive user base of over a billion people, providing crucial quantitative insights and market understanding to various teams. The position requires strong analytical skills, proficiency in programming languages like Python, R, and SQL, and the ability to translate complex data into actionable business insights. You'll be responsible for developing investigative roadmaps, establishing KPIs, and working closely with Engineering and Product Management teams. The role offers the opportunity to impact product decisions at one of the world's leading tech companies, with a focus on experimental design and statistical analysis. Google provides a diverse and inclusive work environment, with a strong commitment to equal opportunity employment and professional growth.

Last updated 8 hours ago

Responsibilities For Senior Data Scientist, Product, Google Store

  • Provide investigative thought leadership through proactive and strategic contributions
  • Develop investigative roadmap that delivers against broader strategy
  • Define and report Key Performance Indicators (KPIs) and impact
  • Perform analysis utilizing tools (SQL, R, Python)
  • Help solve problems and take ownership of open-ended ambiguous business problems

Requirements For Senior Data Scientist, Product, Google Store

Python
  • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
  • 5 years of work experience using analytics to solve product or business problems
  • Experience with statistical analysis and coding (Python, R, SQL)
  • Experience with experimental design (A/B, multivariate, Bayesian methods) and incremental analysis (preferred)

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