Data Scientist, Energy Analytics

vor 2 Wochen

Zurich, Schweiz Google Vollzeit

**Minimum qualifications**:

- 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.

**Preferred qualifications**:

- 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 with the energy system data.

**About the job**:
At Google, data drives all of our decision-making. Data Scientists work all across the organization to help shape Google's business and technical strategies by processing, analyzing, interpreting huge data sets, as well as coming up with new algorithmic and statistical approaches that improve performance and efficiency of Google-wide systems.

As an Energy Analytics Data Scientist, you will think critically and strategically about Google’s fleet-wide energy assets, cloud as a technology, business and its operation, while thinking about its impact on the environment as a whole.

**Responsibilities**:

- Lead projects with energy system, market analysis and carbon impact analysis, modeling and optimization, 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 complex and ambiguous challenges arising in the energy domain, where advanced analytics projects or tools can have the high impact.
- Identify and communicate the challenges and opportunities that the group should be working on.
- Articulate business questions and use mathematical 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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