Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.
3 years of experience developing/deploying machine learning and time series forecasting models using statistical software (e.g., Python, R).
3 years of experience applying statistical modeling, hypothesis testing, and experimentation.
3 years of experience analyzing data, working with SQL and databases.
Preferred qualifications:
Master's degree with a quantitative focus (e.g., Computer Science, Data Science, Mathematics, Economics, Physics, Engineering, Management Information Systems, Statistics, Accounting), or other relevant field.
Experience in product analytics, customer support, business intelligence, data science, or data warehousing.
Ability to collaborate with internal stakeholders across different functions and geographies to manage change and drive continuous improvement initiatives.
Excellent communication skills and executive presence to influence Google colleagues and manage business priorities.