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Senior Research Data Scientist, Search Ads
Google
๐ง๐ท Brazil | ๐จ๐ฆ Canada | ๐จ๐ญ Switzerland | ๐ฎ๐ช Ireland | ๐ฌ๐ง United Kingdom | ๐บ๐ธ United States
On-site
Senior
17 hours ago
$2 โ $174,000
- Python
- SQL
- Equity
17 hours ago
Not enough detail in this posting to match
About the job
Our team provides the critical analysis and data insights that guide our AdsUI partners in improving user interfaces, ad formats, and the overall search page experience. We are the premier team driving a $2XXB business, offering you the unique opportunity to land immediate, visible impact on billions of users worldwideโincluding yourself.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google.
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 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.
Preferred qualifications:
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
Responsibilities
- 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 specialized 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, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Senior Research Data Scientist, Search Ads ยท Google