Senior Data Scientist, Product, Google Store

Google is a global technology company serving billions of users worldwide with innovative products and services.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Consumer

Description For Senior Data Scientist, Product, Google Store

Google is seeking a Senior Data Scientist for their Google Store team to help serve their worldwide user base of more than a billion people. As a Data Scientist, you'll provide quantitative support, market understanding, and strategic perspective throughout the organization. The role involves being an analytics expert who uses data to drive better decisions and weave meaningful stories from insights. You'll work closely with Engineering and Product Management teams to make critical recommendations. The position requires strong analytical skills, expertise in statistical analysis, and proficiency in tools like Python, R, and SQL. You'll be responsible for developing investigative roadmaps, defining KPIs, and translating analysis results into business insights. Google offers an inclusive work environment and is committed to equal opportunity employment. The ideal candidate should have strong quantitative background with at least 5 years of experience in analytics and data science, with preferred experience in experimental design and Bayesian methods.

Last updated 17 minutes ago

Responsibilities For Senior Data Scientist, Product, Google Store

  • Provide investigative thought leadership through proactive and strategic contributions
  • Develop the investigative roadmap that delivers against the broader strategy
  • Define and report Key Performance Indicators (KPIs) and impact as part of regular business reviews
  • Perform analysis utilizing tools (e.g., SQL, R, Python)
  • Help solve problems, narrowing down multiple options into the best approach
  • Take ownership of open-ended ambiguous business problems to reach an optimal solution

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, performing statistical analysis, and coding (e.g., Python, R, SQL)
  • 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (preferred)
  • Experience with experimental design (e.g., A/B, multivariate, Bayesian methods) and incremental analysis (preferred)

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