Data Scientist III, Search - Google
MOFFETT FIELD, CA 94035
About the Job
Minimum qualifications:Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.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.Experience in consumer-facing internet products (e.g.,search, streaming services, or social applications).Preferred qualifications:5 years of experience using analytics to solve product or business problems, coding (e.g.,Python, R, SQL), querying databases or statistical analysis, or a PhD degree
About the job In Google Search, we're reimagining what it means to search for information – any way and anywhere
To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on
In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.The US base salary range for this full-time position is $127,000-$187,000 + 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 Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.Use custom data infrastructure or existing data models as appropriate, using specialized knowledge
Design and evaluate models to mathematically express and solve defined problems with limited precedent.Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g.,SQL, R, Python)
Format, re-structure or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
About the job In Google Search, we're reimagining what it means to search for information – any way and anywhere
To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on
In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.The US base salary range for this full-time position is $127,000-$187,000 + 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 Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.Use custom data infrastructure or existing data models as appropriate, using specialized knowledge
Design and evaluate models to mathematically express and solve defined problems with limited precedent.Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g.,SQL, R, Python)
Format, re-structure or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Source : Google