Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
  
• 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).
  

Preferred qualifications:

• Advanced degree in quantitative discipline.
  
• Experience performing data engineering and programming in Python.
  
• Experience with experiment design and measurement.
  
• Understanding of decision science, with the ability to drive optimal choices based on available information while eliminating bias.
  
• Excellent SQL, data analysis, and problem-solving skills, with the ability to understand statistical modeling techniques as well as machine learning.
  
• Excellent communication and stakeholder management skills, with the ability to interact with other teams and Google’s leadership.