Senior Data Scientist, Product Analytics & Impact

Google; San Francisco (CA); Hybrid; USD 207,000 - 237,000; Full time

Job summary

Google in San Francisco, CA, USA is seeking a Senior Data Scientist to drive advanced analytics, model building, and data-driven product insights. The role emphasizes collaboration with cross-functional teams to solve complex business problems and inform product strategy.

The position requires deep expertise in SQL, Python, and R, with experience in data visualization, stakeholder management, and product analytics. A senior-level track with a competitive salary and equity is offered.

Qualifications

• Bachelor’s degree with 6 years of progressive post-baccalaureate experience in Data Science or related field.
• Alternative: Master’s degree with 3 years of related experience.
• 3 years of experience in SQL, Python, or R for data manipulation, analysis, and modeling; statistical analysis for inferences and trends; UX measurement or attribution modeling; product analytics; and cross-functional collaboration.

Responsibilities

• Extract, format, and validate complex datasets from multiple sources; ensure data quality and readiness.
• Perform advanced analyses using SQL, R, and Python to solve problems and deliver solutions.
• Report KPIs to leadership and translate analytics into actionable product insights.
• Prototype scalable business cases and build robust data processes.
• Advocate for data-driven product development by aligning cross-functional teams.

Skills

SQL

Python

R

Statistical analysis

Product analytics

Stakeholder management

Data visualization

Education

Bachelor’s degree in Data Science/Statistics/Mathematics/Physics/Economics/OR

Master’s degree in Data Science/Statistics/Mathematics/Physics/Economics/OR

Job description

Google in San Francisco, CA, USA is seeking a Senior Data Scientist to drive advanced analytics, model building, and data-driven product insights. The role emphasizes collaboration with cross-functional teams to solve complex business problems and inform product strategy.

The position requires deep expertise in SQL, Python, and R, with experience in data visualization, stakeholder management, and product analytics. A senior-level track with a competitive salary and equity is offered.