Data Scientist III, Research - Google
New York, NY 10001
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.Preferred qualifications: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
About the job Google is and always will be an engineering company
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 millions, if not billions, of users
At Google, data scientists not only revolutionize search, they routinely work on massive 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.
As a Data Scientist, you will evaluate and improve Google's products
You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems
This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user
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)
Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
The application window will be open until at least October 9, 2024
This opportunity will remain online based on business needs which may be before or after the specified date.
About the job Google is and always will be an engineering company
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 millions, if not billions, of users
At Google, data scientists not only revolutionize search, they routinely work on massive 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.
As a Data Scientist, you will evaluate and improve Google's products
You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems
This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user
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)
Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
The application window will be open until at least October 9, 2024
This opportunity will remain online based on business needs which may be before or after the specified date.
Source : Google