Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
• 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
• 3 years of experience managing analytical projects.

Preferred qualifications:

• Master's degree in machine learning, statistics, a related field, or equivalent practical experience.
• Experience applying ML and advanced analytics solutions to enterprise operations teams.
• Experience with the full ML product lifecycle, from ideation to exploration, productionization, and long term support.
  
  
  

Responsibilities

• Provide analytical thought leadership through proactive and strategic contributions, use insights and analytics to drive decisions and alignment throughout the organization.
• Work in a team covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presenting to stakeholders.
  
• Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team.
• Design and develop machine learning models to solve problems within the Enterprise Support space that solve business problems for Google, and work alongside ML Engineering teams to test and deploy generative AI models to internal customers. 
  
• Review analysis and business cases conducted by others to provide feedback.