Senior Business and Marketing Data Scientist
- Lead the strategy, development, and implementation of complex forecasting models, and Google-standard code for critical systems.
- Own the functional requirements and data pipelines for critical operational metrics, either directly or through oversight of supplier resources.
- Act as a technical mentor for statistical methods and other investigative solutions and provide technical oversight to unblock automation goals.
- Drive problem framing for ambiguous and complex programs, build new processes with the foresight to address future business challenges.
- Architect, develop, and deploy scalable forecasting and Machine Learning (ML) solutions using Python, and drive the adoption of Google-standard coding practices to ensure robust, repeatable analyses that optimize global vendor operations.
Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Preferred qualifications:
- 5 years of experience in a data-driven environment, specifically in building and deploying investigative solutions at scale.
- Ability to write complex SQL and use Python to build data pipelines, analyze data, and develop forecasting models (statistical or ML).
- Ability to influence executive stakeholders and manage complex projects with minimal oversight.
- Ability to work flexible hours aligned with North America.
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
