Product Data Scientist, engEDU - Google Careers
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Product Data Scientist, engEDU
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corporate_fareGoogleplaceSan Jose, CA, USA; New York, NY, USA
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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; New York, NY, USA.
Minimum qualifications:
Bachelor"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) or 2 years of 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
Engineering Education (engEDU) is Google's engineering education organization, dedicated to upskilling Googlers and equipping them to be highly productive builders. AI is reshaping developer roles faster than our training keeps pace. Systems thinking, judgement, agent architecture and management are becoming core skills for every builder. To keep with this pace, we are moving more towards an in-product, integrated technical training model to help Googlers become AI-native builders.
Our team is expanding our engineering footprint to develop agentic systems and personalized coaching agents directly into the tools engineers already use, like Jetski (Antigravity), Cider, Critique, and Buganizer. We don't want to saturate these interfaces with noisy nudges common in traditional in-product learning. Rather, we want to engage engineers exactly when it is most relevant to avoid disrupting their work. Shaping the real dimensions and interpreting what the data actually tells us is the massive opportunity we have for a Data Scientist.
We are blazing a trail, and would love to have you at the forefront of designing education for the era of AI and at the scale of Google.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.
Google is proud to be 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 (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, 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 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.
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