**Minimum qualifications**:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field or equivalent practical experience.
- 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.
- 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.
You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
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.
**Use this template only when existing Area Templates don't apply.
For one-off use cases, not ongoing roles.
If you need to create a NEW template for your team submit a request at go/jdreview.
**
**Responsibilities**:
- 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 problen-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 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 Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

📌 Data Scientist, Product, Core Developer (English) (Xico)
🏢 Google
📍 Xico