Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
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.
Nice to haves:
PhD in Statistics, Engineering, Physics, Mathematics, or a 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.
Experience in working or internship as an energy analyst, trader, system operator, etc., including experience applying advanced analytics to energy systems’ planning, control, and learning problems within universities, national labs, electric utility companies.
Experience with the energy system data.
Experience with optimization (e.g., cvx, Gurobi), statistical (e.g., R, Python) software, and database languages (e.g., SQL).
What you'll be doing:
Lead projects with energy system, market analysis, and carbon impact analysis, modeling, drawing from multiple problem-solving methods and energy domain expertise to choose the right tool and right level of complexity appropriate for the business challenges.
Engage broadly with the organization to identify, prioritize, frame, and structure and ambiguous challenges arising in the energy domain, where advanced projects or tools can have the impact.
Identify and communicate the challenges and opportunities that the group should be working on.
Articulate business questions and use techniques to arrive at an answer using data. Translate analysis results into business recommendations.
Help define the problem-solving direction and influence the direction of the associated engineering and infrastructure work.
Perks and benefits:
Collaboration with Google’s Climate Operations team, Energy and Policy Strategists, Engineers, and Product Managers.
Opportunity to work on adjusting Google's energy systems and practices based on findings.
Apply an understanding of energy systems and market dynamics, optimization, and statistical knowledge.
Drive innovation of energy systems stack, improve efficiency, and global environmental impact.