Senior Data Scientist, Product, Education (English, Spanish)
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Please submit your resume in English - we can only consider applications submitted in this language.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Minimum qualifications:
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 5 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
- 3 years of experience managing analytical projects.
- Ability to communicate in English and Spanish fluently to support client
relationship management in this region.
Preferred qualifications:
- Experience working with Finance, Business and Go-To-Market, especially around business generation efforts, and identifying business challenges and opportunities.
- Experience solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.
- Excellent programming skills in SQL, Python or R.
- Excellent communication and presentation skills to deliver findings of analysis.
About the job
Google is an engineering company at heart. 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 users around the world. At Google, engineers not only revolutionize search, they routinely work on 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.
Responsibilities
- Define, own and refine business success metrics. Work with Product Manager, UX and Engineer to develop a comprehensive metric framework that ties to business uplift.
- Report, track and rationalize key metrics and make recommendations to improve them.
- Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on business-generating customer journeys.
- Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders.
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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.
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