Senior Data Scientist, Product, Googler Technology and Engineering

Job Description

The Google Technology Enterprise (GTE) Data Science team is seeking a qualified candidate to transform enterprise business operations using AI and Advanced Analytics.

Requirements

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

Responsibilities

• Provide problem-solving thought leadership through proactive and strategic contributions
• Work in a team covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presenting to stakeholders
• Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team
• Improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes
• Design and develop cutting-edge machine learning models to solve complex problems within the Enterprise Support space that solve actual business problems for Google

Benefits

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.