Data Scientist III, Product, Operations Data Science

Google; San Francisco (CA); On-site; USD 132,000 - 189,000; Full time

Job summary

Join a dynamic team dedicated to serving a global user base. As a Data Scientist, you'll leverage your analytical skills to provide insights that drive strategic decisions. Collaborate with cross-functional teams to ensure Google meets its ambitious goals for sustainability and carbon neutrality. Your expertise in data analysis will help shape innovative solutions that impact millions. This role offers a unique opportunity to blend technical skills with impactful decision-making, all within a forward-thinking company committed to making a difference.

Qualifications

• 3 years of experience with statistical data analysis and data mining.
• 1 year managing analytical projects.

Responsibilities

• Perform analysis using SQL, R, and Python.
• Gather and compile data across sources, ensuring quality.

Skills

Statistical Data Analysis

Data Mining

SQL

Python

R

Education

Master's Degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics

Tools

SQL

R

Python

Job description

Data Scientist III, Product, Operations Data Science

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Data Scientist III, Product, Operations Data Science

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Join to apply for the Data Scientist III, Product, Operations Data Science role at Google

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Sunnyvale, CA, USA.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 benefits at Google .

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.
  
  
  

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 .

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Information Services and Technology, Information and Internet

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