Staff Product Data Scientist: Gmail, Chat & Calendar Analytics

Google LLC; Sunnyvale, Boulder (CA, CO); On-site; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off - 20 days/year

Sick time - 40 hours/year

Maternity leave - 28-30 weeks

Baby bonding leave - 18 weeks

13 paid holidays

Job summary

Google LLC in Sunnyvale, CA is seeking a Staff Product Data Scientist for Gmail, Chat, and Calendar. You would partner with product and engineering to deliver analytics that inform product decisions for a user base of billions.

Emphasis on scalable data models, self-serve analytics, and AI-assisted tooling. You will influence roadmaps across teams, design metric frameworks, and translate data into actionable insights for partners and leadership.

Qualifications

• Bachelor's degree in statistics, mathematics, data science, engineering, physics, economics, or related field.
• 10 years of analytics experience solving product or business problems; or 8 years with a Master's degree.

Responsibilities

• Lead the research and development of metric frameworks quantifying user engagement and productivity.
• Act as the strategic connective tissue between product engineering and central data infrastructure teams.
• Design and build scalable data models and analytical architectures connecting data across product domains.
• Scope and drive self-serve analytics initiatives with unified semantic layers and dashboards.

Skills

Python

R

SQL

Education

Bachelor's degree in Statistics/Math/Data Science/Engineering/Physics/Economics or related field

Master's degree preferred

Tools

Python

SQL

Job description

Google LLC in Sunnyvale, CA is seeking a Staff Product Data Scientist for Gmail, Chat, and Calendar. You would partner with product and engineering to deliver analytics that inform product decisions for a user base of billions.

Emphasis on scalable data models, self-serve analytics, and AI-assisted tooling. You will influence roadmaps across teams, design metric frameworks, and translate data into actionable insights for partners and leadership.