Data Scientist, Energy Analytics, Google Cloud
Job Description
Google Cloud is seeking a Data Scientist specializing in Energy Analytics to join their team. This role combines advanced analytics with energy domain expertise to optimize Google's infrastructure for efficiency and sustainability. The position involves developing solutions for carbon-aware computing and AI, working with energy market data, and collaborating across teams to improve system performance.
The ideal candidate will leverage their expertise in energy systems analysis, optimization, and statistical modeling to drive innovations in computing and energy management. They will work on projects ranging from carbon-aware computing to optimal energy asset sizing and market participation. The role requires both technical depth in data science and a strategic understanding of energy markets and environmental impact.
Working at Google, you'll be part of a team that delivers globally optimal solutions to reduce infrastructure investments, operating costs, and electricity-based CO2 emissions. You'll collaborate with Energy and Policy Strategists, Engineers, and Product Managers to improve compute and energy management systems. The position offers competitive compensation including base salary, bonus, equity, and comprehensive benefits.
This is an excellent opportunity for someone passionate about applying data science to environmental sustainability and energy efficiency at scale. You'll have the chance to make a significant impact on Google's environmental footprint while working with cutting-edge technology and data systems. The role combines technical expertise with strategic thinking, requiring both analytical rigor and business acumen.
Responsibilities For Data Scientist, Energy Analytics, Google Cloud
- Lead projects on energy systems or market analysis and modeling or optimization, selecting appropriate investigative methods and complexity for business issues
- Engage to identify, prioritize, frame, and structure complex, ambiguous energy issues where advanced analytics can have the biggest impact
- Identify and communicate key issues and opportunities for the groups focus
- Help define investigative direction and influence associated engineering and infrastructure work
- Articulate business questions, use mathematical techniques with data to find answers, and translate analysis results into business recommendations
Requirements For Data Scientist, Energy Analytics, Google Cloud
- Master's degree in Electrical Engineering, Operations Research, Industrial Engineering, Economics, or a related field, or equivalent practical experience
- 5 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
- 2 years of experience as an Energy Analyst or equivalent, working with energy system data
- Experience with optimization software (e.g., cvx, Gurobi), statistical software (e.g., R, Python), and database languages (e.g., SQL)
Benefits For Data Scientist, Energy Analytics, Google Cloud
- bonus
- equity
- benefits
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