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Atlanta, GA, USA; Thornton, CO, USA
Source: Google careers · View original posting
From Google's posting. “We” and “our” refer to the employer.
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 most projects will be to enable Cloud to efficiently use its infrastructure and to ensure a high-quality obtainability experience for our customers.
You will deploy and contribute to advanced machine-learning models that forecast the organic and inorganic demand for our many Cloud products. In this role, you will also use advanced operations research methods to develop algorithms that recommend actions based on our forecasts of future demand. In addition, you will collaborate with a larger multi-disciplinary team of engineers, program managers, and product managers to optimize our fast-growing fleet's massive scale and flexible configuration.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
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benefits at Google.
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