Data Science Researcher

Há 5 dias

São Paulo, São Paulo, Brasil Google Tempo inteiro
**Minimum qualifications**:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
**Preferred qualifications**:
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
- 4 years of work experience analyzing data and creating reports with statistical, quantitative modeling, and forecasting.
- 3 years of experience in an applied research setting.
- Experience with Python, R, or other scripting languages.
- Experience in survey research, with knowledge of statistics and a statistical software package (e.g., R, SPSS, Stata, SAS).
About the job
At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
**Responsibilities**:
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions, provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models, design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources through relevant tools (e.g., SQL, R, Python), format, re-structure, or validate data to ensure quality, and review the dataset to ensure it's ready for analysis.
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 alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

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