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Data Scientist, Research Verticals (English, Portuguese)
Data Scientist, Research Verticals (English, Portuguese)-September 2024
Belo Horizonte
Sep 20, 2024
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, Research Verticals (English, Portuguese)

  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 strategic analysis, metric reporting, and executive presentations.

  Experience in statistical modeling, survey design, data analysis, and effective experimental design.

  Ability to complete project work separately and work with cross-functional teams in a dynamic, fast-moving environment.

  Ability to apply statistical training to real-world data.

  Excellent 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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