Google Technology Enterprise (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, Information Technology (IT) support, and internal tooling with Artificial Intelligence (AI) and Advanced Analytics.
Requirements
- 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.
- 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
Responsibilities
- 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.
- Translate analysis results in business insights or product improvement opportunities.
- Work with Product Managers, User Experience, and Engineers to contribute to metric-backed annual and quarterly OKR settings.
- 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.
Other
- Provide problem-solving thought leadership through proactive and strategic contributions; consistently use insights and analytics to drive decisions and alignment throughout the organization.
- San Francisco, CA, USA; Austin, TX, USA; New York, NY, USA; Sunnyvale, CA, USA
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
- If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
