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Research Data Scientist – Ads Safety and Spam
| Company | Google |
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| Location | Mountain View, CA, USA |
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| Salary | $141000 – $202000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Mid Level |
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Requirements
- Master’s degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 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.
Responsibilities
- Support the improvement and optimization of automated machine learning systems for invalid traffic detection, fraudsters or abuse.
- Contribute to advanced research to uncover new sources of fraud and develop innovative prevention solutions.
- Convey data analysis findings to both technical and non-technical audiences.
- Work effectively with various teams of data scientists, engineers, and researchers.
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 experience in data analysis, including statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods.
- Experience with large datasets and big data technologies (e.g., BigQuery, Hadoop, Spark).
- Experience in fraud detection, spam mitigation, or anomaly detection within the online advertising ecosystem.
