Data Scientist III, Product, Operations Data Science

1 Month ago • 4-5 Years • Data Analyst • $132,000 PA - $189,000 PA

Job Summary

Job Description

This Data Scientist III role within Google's Product, Operations Data Science team focuses on achieving Google's Net Zero emissions goals by 2030. You will collaborate with the Climate Operations team, leveraging your expertise in statistical data analysis, data mining, and querying (SQL, R, Python) to develop and scale solutions that accelerate decarbonization. Responsibilities include gathering and compiling data from various sources, reporting KPIs to leadership, translating analysis into actionable business insights, influencing product development decisions, and building analytical models. The role requires strong communication skills to present findings to cross-functional teams and requires experience in applying advanced analytics to planning and infrastructure problems, ideally within the energy and climate domain.
Must have:
  • Master's degree in quantitative field
  • 3 years statistical data analysis experience
  • 1 year analytical project management experience
  • Proficiency in SQL, R, Python
  • Data mining and querying skills
Good to have:
  • 5 years experience with analysis applications
  • 4 years experience as a data scientist
  • Energy and climate domain experience
  • Greenhouse gas accounting experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
  • 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
  • 1 year of experience managing analytical projects.

Preferred qualifications:

  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
  • 4 years of experience as a data scientist, including applying advanced analytics to planning and infrastructure problems.
  • Experience in energy and climate domain, or greenhouse gas accounting.

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Operations Data Science (ODS) is a team of Data Science and Business Analysis experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.

In this role, you will work closely with the Climate Operations team, and will be responsible for ensuring that Google achieves Net Zero emissions and 24/7 carbon-free energy by 2030 for our global operations and value chain. You will work cross-functionally to define and coordinate Net Zero strategy, develop and scale new solutions that accelerate decarbonization and serve as a point of technical coordination across Google on energy and carbon.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Perform analysis by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
  • Report Key Performance Indicators (KPIs) to support business reviews with a cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  • Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance.
  • Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.

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