Research Data Scientist, Cloud Demand Forecasting and Capacity Planning

Google Inc.; Atlanta, Thornton (GA, CO); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a Research Data Scientist for Cloud Demand Forecasting and Capacity Planning in Atlanta, GA. You will build and refine forecasting models to optimize Google Cloud's compute, storage, and ML product demand and capacity planning, collaborating with engineers, PMs, and other data scientists.

The role emphasizes deploying advanced ML models and applying operations research methods to forecast demand and guide capacity decisions, with a focus on efficient infrastructure use and

Qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Responsibilities

• Develop, maintain, and improve forecasting models and capacity solutions to support Cloud's business objectives.
• Make efficient use of Cloud's infrastructure, while achieving service level objectives for Cloud's customers.
• Make larger, mostly independent, technical contributions by consistently executing and finishing end-to-end tasks towards a larger goal with minimal assistance from team members.
• Generate the methodologies required to solve ambiguous problems, and take ownership of the solution, often involving many different activities beyond analysis such as supporting launches, working cross-functionally, and creating documentation.
• Communicate and work with engineers and subject matter experts to become fully integrated with a cross-disciplinary team. Demonstrate working knowledge of data science and related technical areas.

Skills

Python

R

SQL

Education

Master's degree in Statistics/Data Science/Math/Physics/Economics/OR related field

PhD in Operations Research/Industrial Engineering/Statistics or related field

Tools

Python

R

SQL

Job description

Research Data Scientist, Cloud Demand Forecasting and Capacity Planning

Share Research Data Scientist, Cloud Demand Forecasting and Capacity Planning

corporate_fare Google place Atlanta, GA, USA ; Thornton, CO, USA

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:

• PhD in Operations Research, Industrial Engineering, Statistics or related field.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
• 4 years of relevant experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems.
• Experience designing and building statistical forecasting models.
• Experience designing and building machine learning models.
• Excellent problem-framing, problem-solving and project management skills.

About the job

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.

About the job

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

• Develop, maintain, and improve forecasting models and capacity planning solutions to support Cloud's business objectives.
• Make efficient use of Cloud's infrastructure, while achieving service level objectives for Cloud's customers.
• Make larger, mostly independent, technical contributions by consistently executing and finishing end-to-end tasks towards a larger goal with minimal assistance from team members.
• Generate the methodologies required to solve ambiguous problems, and take ownership of the solution, often involving many different activities beyond analysis such as supporting launches, working cross-functionally, and creating documentation.
• Communicate and work with engineers and subject matter experts to become fully integrated with a cross-disciplinary team. Demonstrate working knowledge of data science and related technical areas of the organization, identified as a Google individual contributor by team organizers and leaders.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.