Research Data Scientist, Cloud Demand Forecasting and Capacity Planning
Atlanta, GA, USA · 7d ago
Not specified3+ YOE
Quick summary
AI parsed- Experience
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field. 3+ years of work experience using analytics to solve product or business problems, coding (Python, R, SQL), querying databases or statistical analysis. Preferred: 5+ years experience, PhD, advanced analytics for planning and infrastructure, statistical forecasting models, machine learning models.
- Salary
- $147,000 - $210,000 USD + 15% bonus target + equity + benefits
Responsibilities
- Develop, maintain, and improve forecasting models and capacity planning solutions to support Cloud's business objectives
- Deploy and contribute to advanced machine-learning models that forecast organic and inorganic demand for Cloud products
- Use advanced operations research methods to develop algorithms that recommend actions based on forecasts of future demand
- Collaborate with multi-disciplinary teams of engineers, program managers, and product managers to optimize infrastructure fleet at scale
Benefits
Health insurance · Retirement benefits · Equity compensation · Bonus target (15%)
Full description
Drive the inventory efficiency, obtainability, and growth of Google Cloud’s compute, storage, and ML products through scalable data science solutions for forecasting organic and inorganic demand, planning and managing capacity, and developing product innovations. As a data scientist on the CCDS (Cloud Capacity Data Science) team, you will develop, maintain, and improve forecasting models and capacity solutions to support Cloud's business objectives. Our customers want a high-quality experience when obtaining and using Google Cloud's infrastructure to run their workloads. Your challenge on mo…