Google Inc.
Data Scientist, Research, Ads Insight and Measurement
Google Inc., Mountain View, California, us, 94039
Data Scientist, Research, Ads Insight and Measurement
Location:
Mountain View, CA, USA; New York, NY, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis, or a PhD degree.
Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.
Preferred qualifications:
PhD degree in a quantitative discipline.
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods and machine learning on large datasets.
Ability to both teach others and learn new techniques such as differential privacy, with excellent leadership and self‑initiation.
Ability to select the right statistical tools to solve a data analysis problem.
Excellent communication skills, with a passion for practical application of science to business.
About the job
As a Data Scientist, you will apply scientific and statistical methods to the challenges of advertising product creation, development and improvement, bringing a deep, data‑driven appreciation for the behaviors of the end user and the ecosystem. Working within Ads Insights and Measurement, you will develop, evaluate, and improve the entire range of Google’s advertising products including Search, Display, Apps, TV, and Video (YouTube). You will collaborate closely with a multi‑disciplinary team of engineers, analysts and product managers to develop new scientific approaches and translate them into deployed products at scale. You will play a key role in developing new ideas and methods that drive ad measurement and business generation, including paradigm‑shifting ad‑measurement science and products for the privacy‑preserving future of digital advertising. In doing so, you will drive impact on ad systems both at Google and in the ad‑tech and mar‑tech industry. Armed with a broad set of technical skills, you will be ready to take on some of modern advertising’s greatest challenges and make an impact on the entire global ads ecosystem. You will be quantitatively trained with expertise in quantitative methodologies, and a solid understanding of statistics and causal inference methods. You will understand consumer behavior, advertising and privacy, possessing a passion for business problems, and an interest in combining data and strategy.
The US base salary range for this full‑time position is $141,000‑$202,000 plus bonus, equity, and benefits. The salary range is 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.
Google is an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and 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 or related condition, and any other basis protected by law.
If you have a need that requires accommodation, please let us know by completing our accommodations for applicants form.
English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our job alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr
Mountain View, CA, USA; New York, NY, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications:
Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis, or a PhD degree.
Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.
Preferred qualifications:
PhD degree in a quantitative discipline.
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods and machine learning on large datasets.
Ability to both teach others and learn new techniques such as differential privacy, with excellent leadership and self‑initiation.
Ability to select the right statistical tools to solve a data analysis problem.
Excellent communication skills, with a passion for practical application of science to business.
About the job
As a Data Scientist, you will apply scientific and statistical methods to the challenges of advertising product creation, development and improvement, bringing a deep, data‑driven appreciation for the behaviors of the end user and the ecosystem. Working within Ads Insights and Measurement, you will develop, evaluate, and improve the entire range of Google’s advertising products including Search, Display, Apps, TV, and Video (YouTube). You will collaborate closely with a multi‑disciplinary team of engineers, analysts and product managers to develop new scientific approaches and translate them into deployed products at scale. You will play a key role in developing new ideas and methods that drive ad measurement and business generation, including paradigm‑shifting ad‑measurement science and products for the privacy‑preserving future of digital advertising. In doing so, you will drive impact on ad systems both at Google and in the ad‑tech and mar‑tech industry. Armed with a broad set of technical skills, you will be ready to take on some of modern advertising’s greatest challenges and make an impact on the entire global ads ecosystem. You will be quantitatively trained with expertise in quantitative methodologies, and a solid understanding of statistics and causal inference methods. You will understand consumer behavior, advertising and privacy, possessing a passion for business problems, and an interest in combining data and strategy.
The US base salary range for this full‑time position is $141,000‑$202,000 plus bonus, equity, and benefits. The salary range is 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.
Google is an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and 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 or related condition, and any other basis protected by law.
If you have a need that requires accommodation, please let us know by completing our accommodations for applicants form.
English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our job alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr