Data Scientist, Product, Cloud Managed Infrastructure (google)

Qualifications

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).
  
• 1 year of experience managing analytical projects.
  

Preferred qualifications:

• 3 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
  
• 1 year of experience working in a complex, matrixed organization.
  
• JOB IS FROM: italents.netVIEWExperience in developing data pipelines and working with large volumes of data
• Experience with cloud products.
  
• Excellent statistical skills, including descriptive statistics, experiment design, inference, statistical decision making.
  

Summary

• 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).
  
• 1 year of experience managing analytical projects.
  

Description

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

• Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
  
• Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  
• Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance.
  
• Conduct feasibility analyses with Software Engineers and Product Managers, you quantify estimated impact of a proposed product or feature on business and on fleet efficiency.
• Identify patterns and analyze how existing products are used by our customers; you report unusual/creative behavior; you provide quantitative perspective to product owners.