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Google
Product Data Scientist, Google Ads
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$138,705 / year median in California
+8% projected growth
Job Description
Product Data Scientist, Google Ads Share Product Data Scientist, Google Ads _corporate_fare_ Google _place_ Mountain View, CA, USA; New York, NY, USA . Minimum qualifications: + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience. + 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 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. The Advertiser Platform (AP) team drives better business outcomes for ads customers through automation and critically important platforms, encouraging long-term investments with Google. The AP Product Analytics (APPA) team enables the AP team to make data-driven decisions by building tooling, maintaining datasets, and by measuring and delivering insights for improving key metrics for our scaled and automated Google Ads products. In this role, you will empower the Advertiser Platform team to make critical, data-driven decisions by providing the tools, datasets, and actionable insights they need to scale and improve Google Ads products. You will play a pivotal role in supporting the Performance Max team and broader campaign automation efforts. Your work will center on understanding and optimizing how advertisers express their business objectives through conversion goals, advertising channel value modifiers, customer lifecycle optimization, and other emerging controls. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
- Mid•Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
XNote:
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
US:
$138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .- Responsibilities
- + Perform comprehensive investigations into fundamental business and product strategy questions using unstructured data (e.
To all recruitment agencies:
Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
See also https:
//careers.google.com/eeo/ and https:
//careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.Benefits
- Dental Insurance