Cloud Demand Forecasting & Capacity Planning Data Scientist

Socket.dev; Atlanta (GA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target 15%

Job summary

Google Cloud CCDS data scientist role focuses on forecasting, capacity planning, and demand forecasting for compute, storage, and ML products. You will develop and deploy scalable models to enable efficient use of Cloud infrastructure and high-quality obtainability for customers.

You will work with engineers, PMs, and product teams to implement advanced analytics, OR methods, and ML solutions that guide capacity decisions and product innovations across a large, fast-growing fleet.

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.
• 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.

Responsibilities

• 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.

Skills

Python

R

SQL

Statistics

Forecasting

Problem solving

Project management

Education

Master's degree

PhD

Job description

Google Cloud CCDS data scientist role focuses on forecasting, capacity planning, and demand forecasting for compute, storage, and ML products. You will develop and deploy scalable models to enable efficient use of Cloud infrastructure and high-quality obtainability for customers.

You will work with engineers, PMs, and product teams to implement advanced analytics, OR methods, and ML solutions that guide capacity decisions and product innovations across a large, fast-growing fleet.