Data Scientist, Research, Power Forecasting and Optimization
Description For Data Scientist, Research, Power Forecasting and Optimization
Google is seeking a Data Scientist to join their Technical Infrastructure (TI) organization, focusing on Data Center/Power Demand Forecasting and Optimization. This role is crucial in supporting Google's Cloud/AI missions through infrastructure investment decisions. The position offers a competitive base salary range of $127,000-$187,000, plus additional benefits including bonus, equity, and comprehensive healthcare coverage.
The ideal candidate will have at least 3 years of experience in analytics and data science, with a Master's degree in a quantitative field or equivalent experience. They will be responsible for collaborating with stakeholders to identify business questions, design and evaluate models, and manage data infrastructure using tools like Python, R, and SQL.
This role presents an exciting opportunity to work at one of the world's leading technology companies, directly impacting Google's infrastructure decisions and supporting their AI-first company mission. The position offers significant growth potential and the chance to work with cutting-edge technology and data systems.
Key responsibilities include developing and implementing analytical solutions, working with cross-functional teams, and owning the end-to-end process of data gathering and analysis. The role requires strong technical skills, business acumen, and the ability to communicate complex findings to stakeholders effectively.
Google offers a collaborative and inclusive work environment, with a strong commitment to diversity and equal opportunity. The company provides comprehensive benefits, including medical, dental, and vision insurance, parental leave, and professional development opportunities. This position is available across several major US tech hubs, offering flexibility in location while maintaining the opportunity to work on impactful projects at scale.
Responsibilities For Data Scientist, Research, Power Forecasting and Optimization
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions
- Provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge
- Design and evaluate models to express and solve defined problems
- Gather information, business goals, priorities, and organizational context around the questions to answer
- Own the process of gathering, extracting, and compiling data across sources via relevant tools
Requirements For Data Scientist, Research, Power Forecasting and Optimization
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
- Experience in Supply Chain Analytics, Infrastructure Capacity Planning, bin packing problems (preferred)
- 5 years of experience using analytics to solve product or business problems (preferred)
- 4 years of experience with formulating or answering business questions using data, metrics, and quantitative algorithms (preferred)
- 4 years of experience with designing and building constraint optimization models, machine learning models, or statistical models (preferred)
Benefits For Data Scientist, Research, Power Forecasting and Optimization
- bonus
- equity
- benefits
