Business Data Scientist, Devices and Services Systems
- Data Scientist
- Other places
- 06/12/2024
- -
The Platforms and Devices Group at Google integrates AI, Software, and Hardware to deliver exceptional user experiences. We are seeking a passionate and skilled Business Data Scientist to tackle key challenges in supply chain and business operations.
• Bachelor's degree in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Industrial Engineering), or equivalent practical experience.
• Proficiency in Python for statistical and machine learning (ML) modeling.
• Experience in creating user-friendly dashboards using tools like Tableau to monitor ML tool outcomes.
• Competence in SQL and assembling training datasets for statistical models.
• Master's degree or higher in Statistics, Mathematics, or a related quantitative discipline.
• Expertise in time series forecasting, including ML-based multivariate and multi-series models.
• Knowledge of supply chain and business operations principles.
• Ability to drive business impact through statistical tools in a matrixed organization, encountering diverse business processes.
As a Business Data Scientist, you will lead the solutioning of critical issues within supply chain and business operations. Your responsibilities include:
In this role, you will navigate through ambiguity and complex business processes, guiding projects from concept to impactful solutions.
The US base salary range for this full-time position is $108,000 to $158,000, including bonus, equity, and comprehensive benefits. Our salary ranges are determined by the role, level, and location. The range reflects the minimum and maximum target salaries across all US locations. Individual pay is determined by the work location and other factors such as job-related skills, experience, and relevant education or training. Your recruiter will provide specific salary range details during the hiring process.
Note: The compensation details listed pertain only to the base salary and do not account for bonuses, equity, or benefits.
If you are passionate about leveraging data science to solve real-world problems and thrive in a dynamic environment, we encourage you to apply!