Minimum qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 5 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
  

Preferred qualifications:

• 5 years of experience with experimental design, training, data analysis, survey design, and statistical modeling.
  
• Ability to apply statistical training to data and retrieve data sets using tools and coding.
  

About the job

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.

Responsibilities

• Use cutting edge data science and analytics techniques to shape Google’s support platform and help solve our customers’ and users’ issues.
• Work in a team covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presenting to stakeholders.
• Contribute to a Data Science/Product Analytics roadmap for your team that delivers against the Support Platform’s broader strategy. Establish the project goals, coordinate resources, and provide technical leadership in-line with the long-term goals.
• Build an understanding of the data sets used by Customer Engagement Support and its partner teams. Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on our most impactful customer journeys.