Data Scientist, Research Cloud
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Minimum qualifications:
- Master's degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of experience with Machine Learning and Statistical modeling, especially in anomaly detection and classification models.
Preferred qualifications:
- 2 years of experience in using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Knowledge of data metrics, analysis and trends and of measurement, statistics and program evaluation.
- Ability to have an analysis mindset, comfortable with both statistically driven analysis and approaches based on the need of problem.
- Excellent problem-solving and business judgment skills.
About the job
In this role, your mission is to build productivity and data products, develop AI/ML/statistical models and provide prescriptive insights to help Cloud Supply Chain and Operations (CSCO) define and achieve business goals. You will help make Google Cloud supply chain and Data Centers exceptional by enabling data-informed decision making and product innovation.
Areas of Focus:
- Through applied modeling, you will pursue high-impact forecasting, anomaly detection, GenAI, automation and statistical modeling opportunities.
- Through prescriptive insights, you will inform supply-chain, operations and product decisions that drive long-term strategies or 8+ figure $ impact.
- Through product management, you will help CSCO achieve business goals through data, AI and ecosystem products.
- Through measured work, you will enable data center productivity measurement and improvements.
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 difficult investigative problems with initial guidance structuring approach and conduct exploratory data analyses, inform model design, and development.
- Plan and execute prioritized project work, including selecting appropriate methods and advice on opportunities to improve data infrastructure. Identify and recommend ways to improve solutions to problems via selecting better methods/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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