Data Scientist, Energy Analytics

Google is a leading global technology company specializing in internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI

Description For Data Scientist, Energy Analytics

Google is seeking a Data Scientist specializing in Energy Analytics to join their Climate Operations team. This role combines data science expertise with energy systems knowledge to drive environmental impact and efficiency improvements. The position involves collaborating with Energy and Policy Strategists, Engineers, and Product Managers to optimize Google's energy systems and practices. The ideal candidate will have strong analytical skills, experience with energy systems, and the ability to translate complex data into actionable insights.

The role focuses on developing methods for carbon and efficiency-aware compute shifting, grid integration, energy asset forecasting, and scalable control. You'll work with various energy stakeholders across Google to drive innovation in their energy systems stack while improving efficiency and environmental impact. The position requires both technical expertise in data science and domain knowledge in energy systems.

This opportunity offers the chance to make a significant impact on Google's environmental initiatives while working with cutting-edge technology and data. You'll be part of a team that's directly contributing to Google's sustainability goals, using advanced analytics to optimize energy usage and reduce carbon footprint. The role combines technical challenges with meaningful environmental impact, making it ideal for candidates passionate about both data science and sustainability.

The position offers the opportunity to work with Google's world-class teams and infrastructure, solving complex problems at scale. You'll be at the forefront of applying data science to environmental challenges, working in a collaborative environment that values innovation and impact. This role is perfect for someone who wants to use their technical skills to make a positive environmental impact while working at one of the world's leading technology companies.

Last updated 7 days ago

Responsibilities For Data Scientist, Energy Analytics

  • Lead projects with energy system, market analysis and carbon impact analysis, modeling, drawing from multiple problem solving methods and energy domain expertise
  • Engage broadly with the organization to identify, prioritize, frame, and structure and ambiguous challenges arising in the energy domain
  • 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

Requirements For Data Scientist, Energy Analytics

Python
  • 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, querying databases or statistical analysis, or a PhD degree
  • Experience with optimization (e.g., cvx, Gurobi), statistical software, and database languages
  • Experience with energy system data

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