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Data Scientist, Search (Portuguese, English)
Data Scientist, Search (Portuguese, English)-February 2024
Belo Horizonte
Feb 2, 2025
ABOUT GOOGLE
Our mission is to organize the world’s information and make it universally accessible and useful.
10,000+ employees
Technology
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About Data Scientist, Search (Portuguese, English)

  Minimum qualifications:

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

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

  Ability to communicate in English and Portuguese fluently.

  Preferred qualifications: Experience with advanced experimental designs, including A/B testing.

  Experience leading and managing multiple projects simultaneously, with the ability to influence stakeholders.

  Excellent project management, problem-solving, and written/verbal communication skills.

  About the job

  In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

  Responsibilities

  Provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. Interact cross-functionally with a wide variety of teams, and work closely with Product Managers and Engineering leads to identify growth and quality opportunities for the product.

  Work with large data sets and solve non-routine investigative issues, use problem-solving and statistical methods to the issues to measure quality, improve consumer products, and understand the behavior of end-users.

  Make business recommendations with effective presentations of findings at multiple levels of stakeholders.

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