Senior Data Scientist, Research, Ads Metrics
Description For Senior Data Scientist, Research, Ads Metrics
Google is seeking a Senior Data Scientist to join their Ads Metrics Research team. This role combines advanced analytics with business impact, focusing on improving Google's advertising and commerce products. The position requires expertise in statistical analysis, data science, and programming, with the successful candidate working at the intersection of product development and user behavior analysis.
The role involves collaborating with cross-functional teams to solve complex analytical challenges and drive data-informed decisions. You'll be responsible for developing and implementing sophisticated analytical models, working with large-scale datasets, and translating findings into actionable insights that shape Google's advertising strategies.
As a Senior Data Scientist, you'll have the opportunity to influence product development through data-driven insights, working with cutting-edge technology and massive datasets. The position offers competitive compensation, including base salary, bonus, equity, and comprehensive benefits, reflecting Google's commitment to attracting top talent.
The ideal candidate will bring strong technical skills in Python, SQL, and statistical analysis, combined with business acumen and excellent communication abilities. You'll work in a collaborative environment where your analyses will directly impact Google's advertising effectiveness and user experience.
This role is perfect for someone who is passionate about using data to solve complex problems, has a strong quantitative background, and wants to make a significant impact at one of the world's leading technology companies. You'll be part of a team that values innovation, analytical rigor, and user-focused solutions, while working on projects that affect millions of users worldwide.
Responsibilities For Senior Data Scientist, Research, Ads Metrics
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
- Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models
- Use custom data infrastructure or existing data models as appropriate, using knowledge
- Design and evaluate models to mathematically express and solve defined problems with limited precedent
- Gather information, business goals, priorities, and organizational context around the questions to answer
- Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python)
- Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis
Requirements For Senior Data Scientist, Research, Ads Metrics
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience
- 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 3 years of work experience with a PhD degree
- 2 years of experience as a data scientist or applied scientist in an industry setting
Benefits For Senior Data Scientist, Research, Ads Metrics
- Bonus
- Equity
- Benefits Package
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