Senior Data Scientist, Ads Metrics, Research

About the Role

Key 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 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 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

• 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.

Nice to Have

• 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.

Benefits & Perks

• The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits.
• Our salary ranges are determined by role, level, and location.
• Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
• Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
• 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.