Staff Data Scientist, Research
Google Inc., Mountain View, CA, United States
Mountain View, CA, USA
Qualifications
Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis; or 6 years of work experience with a PhD degree.
Preferred Qualifications
10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis; or 8 years of work experience with a PhD degree.
About the Job
Google is an engineering company that hires people with a broad set of technical skills who are ready to take on technology’s greatest challenges. As a Data Scientist, you will evaluate and improve Google’s products, collaborating with a multidisciplinary team of engineers and analysts on a wide range of problems. You will apply scientific rigor and statistical methods to product creation, development, and improvement, with an appreciation for the user’s behavior.
The U.S. base salary range for this full‑time position is $207,000–$300,000 plus bonus, equity, and benefits. Individual pay is determined by location and other factors, including job‑related skills, experience, and education.
Responsibilities
Collaborate with stakeholders across projects and teams to identify and clarify business or product questions.
Translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models, applying specialized knowledge to design and evaluate models that mathematically express and solve defined problems.
Gather information on business goals, priorities, and organizational context related to the questions to be answered.
Own the process of gathering, extracting, and compiling data across sources using relevant tools (e.g., SQL, R, Python), independently formatting, re‑structuring, and validating data to ensure quality.
Google is a proud equal‑opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve and to providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, parental status, or any other basis protected by law.
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Qualifications
Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis; or 6 years of work experience with a PhD degree.
Preferred Qualifications
10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis; or 8 years of work experience with a PhD degree.
About the Job
Google is an engineering company that hires people with a broad set of technical skills who are ready to take on technology’s greatest challenges. As a Data Scientist, you will evaluate and improve Google’s products, collaborating with a multidisciplinary team of engineers and analysts on a wide range of problems. You will apply scientific rigor and statistical methods to product creation, development, and improvement, with an appreciation for the user’s behavior.
The U.S. base salary range for this full‑time position is $207,000–$300,000 plus bonus, equity, and benefits. Individual pay is determined by location and other factors, including job‑related skills, experience, and education.
Responsibilities
Collaborate with stakeholders across projects and teams to identify and clarify business or product questions.
Translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models, applying specialized knowledge to design and evaluate models that mathematically express and solve defined problems.
Gather information on business goals, priorities, and organizational context related to the questions to be answered.
Own the process of gathering, extracting, and compiling data across sources using relevant tools (e.g., SQL, R, Python), independently formatting, re‑structuring, and validating data to ensure quality.
Google is a proud equal‑opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve and to providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, parental status, or any other basis protected by law.
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