Data Scientist, Research, Google Display Ads Optimization
Salary undisclosed
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Minimum qualifications:
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
- 1 year of experience managing analytical projects.
- Ph.D. degree in relevant fields (Mathematics, Statistics, Computer Science).
- Ability to apply different models to solve problems.
- Excellent problem-solving skills.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
- Work on areas such as Ads Retrieval, Ads Targeting, Auto Bidding, and prediction Machine Learning models.
- Identify key issues and develop solutions, along with statistical modeling skills to establish core metrics and build models that enhance bidding strategies.
- Work on projects which are a combination of engineering, machine learning, and data analysis.
- Improve ads retrieval model quality to maximize network business.
- Develop evaluation framework to better evaluate and understand ads early retrieval system.
About Google
Size | More than 5000 |
Industry | Interactive Media & Services |
Location | Santa Clara County, United States |
Founded | 4 November 1998 |
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