Data Scientist, Cloud Supply Chain and Operations (google)

Qualifications

Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
  
• 3 years of experience with data science and analytics in a technology or supply chain company.
  

Preferred qualifications:

• Master's degree in Engineering, Statistics, Mathematics or Operations Research, or a related field.
  
• Experience influencing and leading organizational change.
  
• Knowledge of measurement, statistics and program evaluation.
  
• Understanding of statistical foundation especially in approaches and methods related to hypothesis testing, experimentation, and causal inference.
  
• Ability to synthesize multiple data points, points of view and analyses into actionable and meaningful insights.
  
• Excellent business acumen and problem-solving skills.
  

Summary

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
  
• 3 years of experience with data science and analytics in a technology or supply chain company.
  

Description

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

The mission of Cloud Supply Chain Operations (CSCO) Data Science team is to improve CSCO efficiency through applied machine learning, statistical and simulation modeling as well as prescriptive insights, including cost-savings, reduced deployment/maintenance time, and improved supply/demand predictability.

In this role, you will focus on projects that increase satisfaction of the users across CSCO, elevate our measurement capabilities and improve key business metrics.

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

• Conduct exploratory data analyses, inform model design, and development.
  
• Analyze users, usage, trends and relevant dimensions, providing insights on changing dynamics. Prioritize multiple projects and refine timelines with stakeholders.
  
• Plan and execute prioritized project work, including selecting appropriate methods and advising on opportunities to improve data infrastructure. Identify and recommend ways to improve solutions to problems via selecting better methods/tools.
  
• Identify issues with scope, data, or approach. Escalate issues to be addressed by stakeholders and communicate, present insights, and recommend actions to stakeholders.
  
• Deliver data extraction and manipulation, visualization, and development of investigative/statistical models.