Data Scientist III, Product - Google
MOFFETT FIELD, CA 94035
About the Job
Minimum qualifications:Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years of work experience with a Master's degree).Preferred qualifications:Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL)
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.Google is an engineering company at heart
We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world
At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world
From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits
Our salary ranges are determined by role, level, and location
The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations
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 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.
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.Google is an engineering company at heart
We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world
At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world
From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits
Our salary ranges are determined by role, level, and location
The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations
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 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.
Source : Google