Senior Staff Data Scientist, Product

Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• 15 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:

• Experience with the technical aspects of analytics, data science, and statistical methodologies, data management, as well as analytical and data visualization software tools.
  
• Experience working in an enterprise setting, with knowledge of Data Management market segment and competitive dynamics/customer adoption behavior.
  
• Excellent communication skills, with the ability to communicate with both technical and business teams.
  
• Excellent leadership skills with the ability to motivate a team.

About the job

Google Cloud Databases offers a portfolio of managed database services that meet customers' workload requirements from lightweight development to business critical global scale. The team's mission is to enable businesses to deliver scalable, secure, and reliable solutions. Google Cloud is committed to open source and open standards and offers managed services that are compatible with open source engines.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Define, own, and evolve product metrics, report, analyze, and forecast trends of key product metrics, and make recommendations. 
• Work with data sets and develop solutions that can be executed for business growth, solve analysis problems, and perform leadership consulting across the Databases organization.
  
• Identify business problems, process data and perform analysis, and communicate the results to stakeholders to inform the product direction.
• Lead initiatives to improve data, tools, and methodology, and develop experimentation and measurement frameworks.
• Define, analyze, and validate key metrics and hypotheses to inform decision-making and measure the accomplishments of product teams.