We are looking for a Senior Data Scientist to join our team
Minimum qualifications:
- 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.
Responsibilities
- Build and maintain data pipelines and time series models to generate support case volume forecasts that enable long-term capacity planning and short-term scheduling decisions.
- Lead monthly business reviews with executive stakeholders, sharing insights on drivers of change across a dynamic organization.
- Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.
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Help define the direction for the team, and influence the direction of the associated engineering and infrastructure work.
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