Senior Data Scientist, Ads Metrics
Description For Senior Data Scientist, Ads Metrics
Google is seeking a Senior Data Scientist to join their Ads Metrics team in Zürich, Switzerland. This role is crucial in innovating and enhancing experiment design, causal inference, and time-series analysis for business-critical launches within Google Ads.
The position offers an opportunity to work with Google's advertising products including search, display, shopping, travel, and video advertising, as well as analytics. You'll be part of a team that creates trusted experiences between people and businesses through effective advertising solutions.
As a Senior Data Scientist, you'll collaborate closely with software engineers, product managers, researchers, and analysts. Your responsibilities will include designing and evaluating mathematical models, analyzing complex business problems, and working with various data infrastructure tools. The role requires strong expertise in statistical analysis, experimental design, and programming skills in languages like Python, R, and SQL.
The ideal candidate should have at least 5 years of experience in analytics and data science, or 3 years with a PhD. A Master's degree in a quantitative field is required, with preferred qualifications including expertise in regression analysis, experiment design, sampling methods, causal inference, and time-series analysis.
This role offers the opportunity to impact Google's advertising ecosystem, working with cutting-edge technology and data infrastructure. You'll be part of a team that helps businesses of all sizes grow, from small enterprises to large brands and YouTube creators, while ensuring effective advertiser tools that deliver measurable results.
Google provides an inclusive work environment, committed to equal opportunity and building a representative workforce. The company offers a culture of belonging and supports work-life balance, though specific benefits are not mentioned in the job posting.
Responsibilities For Senior Data Scientist, 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 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
- 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 relevant 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, 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 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
- Experience with statistical data analysis and experimental design
- Experience with regression analysis for prediction and forecasting
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