Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience.
- 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of experience with a PhD degree.
Preferred qualifications:
- 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.
- Experience with data, metrics, analysis and trends with the knowledge of measurement, statistics and program evaluation.
- Ability to learn about Supply Chain Operations.
- Excellent problem-solving and business judgment skills.
About the job
The Cloud Supply Chain Data (CSCD) Data Science and Product team build productivity and data products, develop Artificial Intelligence (AI)/Machine Learning (ML)/statistical models and provide insights to help Cloud Supply Chain and Operations (CSCO) define and achieve business goals.
Responsibilities
- Develop machine learning and statistical models to detect anomalies, forecast trends, classify patterns and optimize processes in Google Cloud Supply Chain and Operations.
- Deliver investigative problems with guidance structuring approach and conduct exploratory data analysis, inform model design, and development.
- Plan and execute prioritized project work, including selecting appropriate methods and advising on opportunities to improve data infrastructure. Identify and recommend ways to improve solutions to problems by selecting better methods or tools.
- Identify issues with scope, data, or approach. Escalate issues to be addressed by stakeholders and communicate, present insights, and recommend actions to stakeholders.
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Google's EEO Policy and
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