Data Scientist, Product, Core Developer (English)

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X 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.

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field or equivalent practical experience.

2 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or experience with a Master's degree.

Ability to communicate in English fluently to support client relationship management in this region.

Preferred qualifications :

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

3 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

Experience working in a development life-cycle, defining requirements, checking in code, testing, staging, production.

Experience with analytics, data, and measurement products.

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.

In this role, you will partner with our Engineers / Program Manager (PM) / UX team members to advance Google GenAI capabilities, leading industry productivity research and AI impact, enhance complex engineering development ecosystems, and help leadership make launch and prioritization decisions.

Responsibilities

Perform analysis utilizing relevant tools (e.g., SQL, R, Python).

Apply standard / common tools, resources, and processes to define issues for difficult projects, execute problem-solving tasks with guidance.

Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).

Format, re-structure, and validate data to ensure quality.

Leverage a foundational understanding of business priorities and problem-solving techniques.

Select appropriate approaches from options to address technical issues.

Develop working relationships outside of the team to contribute to cross-project collaborations and better understand data or products.

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.

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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