Data Scientist, Energy Analytics at Google

Minimum Qualifications:

Educational Background: Possess a Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a similar quantitative field, or equivalent practical experience.

Professional Experience: At least 3 years of work experience utilizing analytics to solve product or business issues, including coding with languages like Python, R, SQL, database queries, and statistical analysis. A PhD degree may be considered in place of work experience.

Preferred Qualifications:

Advanced Degree: PhD in Statistics, Engineering, Physics, Mathematics, or a closely related field.

Extended Experience: Over 5 years of experience in applying analytics to address product or business issues, with proficiency in coding (Python, R, SQL), database querying, and statistical analysis.

About the Job:

At Google, we pride ourselves on being an engineering company at our core. We employ individuals equipped with a broad set of technical skills ready to tackle some of the biggest technological challenges and impact users worldwide. Google's data scientists are not only instrumental in revolutionizing search but also in developing massive scalability and storage solutions, creating large-scale applications, and building new platforms for global developers. Google's data science projects span across various products like Google Ads, Chrome, Android, YouTube, Social, and Local, driving technological advancements globally.

In this role, you will leverage your expertise as a Data Scientist to enhance Google's products. You will work alongside a multidisciplinary team of engineers and analysts to solve a diverse range of challenges. Your contributions will be rooted in scientific rigor and statistical methods, aiding product creation, development, and optimization while considering user behavior. Your expertise in the energy sector will contribute to the development of energy analytics solutions for efficient, scalable, and carbon-aware management of Google's extensive energy assets.

Responsibilities:

• Lead projects focused on energy systems, market analysis, carbon impact analysis, modeling, and optimization. Apply a variety of problem-solving methods and energy domain expertise to select appropriate tools and complexity levels for business challenges.
• Work across the organization to identify, prioritize, frame, and structure complex and ambiguous challenges within the energy domain, where advanced analytics applications or tools can drive significant impact.
• Communicate the critical challenges and opportunities the group should focus on, influencing problem-solving directions and associated engineering and infrastructure efforts.
• Utilize mathematical techniques to address business questions, interpret data analysis results, and translate them into actionable business recommendations.

Join Google:

Become part of a team committed to reducing infrastructure investments, operating costs, and CO2 emissions through optimized management of network, compute, storage, power, and carbon resources. If you are ready to contribute to solving some of the most exciting challenges in technology today, apply now to become a Data Scientist in Energy Analytics at Google.