Senior Data Scientist

About the job

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $206,600 - $237,000+ 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more aboutbenefits at Google.

Position reports to the Google San Francisco, CA office & may allow for a hybrid schedule as per Google policy.

Minimum qualifications:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field and 6 years of progressive post-baccalaureate experience in the job offered or in a Data Scientist-related occupation.
• Alternatively, will accept a Master’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field, and 3 years of experience in the job offered or in a Data Scientist-related occupation.
• Position requires 3 years of experience in the following: Coding in SQL, Python, or R to manipulate, analyze, visualize large datasets, and build models; Statistical analysis or quantitative data synthesis to draw inferences, identify trends, and solve product or business problems; User experience measurement or attribution modeling to evaluate customer interactions; Product analytics or business intelligence to define metrics, create dashboards, and measure success; and Stakeholder management or cross-functional collaboration to align objectives, gather consensus, and persuade leaders.

Responsibilities

• Extract, format, and validate complex datasets from multiple sources to guarantee quality and analysis readiness.
• Execute advanced analyses utilizing SQL, R, and Python to resolve ambiguous problems and deliver optimal solutions.
• Report Key Performance Indicators to leadership and translate analytical results into actionable product improvement insights.
• Prototype scalable business cases and build robust processes with the foresight to anticipate future challenges.
• Master internal data structures and metrics to effectively advocate for impactful product development changes. Influence cross-functional teams to align strategic resources while providing oversight and setting standards for data scientists.