Staff Product Data Scientist

Google; New York (NY); Presencial; USD 192.000 - 278.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) with company match

20 days vacation per year

Sick time (40 hours/year)

Maternity Leave (28-30 weeks)

Holiday pay 13 days

Descripción de la vacante

Google’s Collab Data Science team is seeking a Staff Product Data Scientist to support Workspace product development across Drive, Docs, Sheets, Slides, Pics, and Vids. You will shape how the organization measures product outcomes, evaluate Generative AI, and scale analytics via metric frameworks and data modeling.

This is an onsite position in New York, NY. You will lead scalable data models, collaborate with product engineering and data infrastructure, and build self-serve analytics through

Formación

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related quantitative field.
• 10 years of experience using analytics to solve product or business problems, including statistical analysis and coding (Python, R, SQL), or 8 years with a Master’s degree.
• 8 years of experience with core product analytics concepts, including user engagement metrics, funnel analysis, and A/B testing infrastructure.
• 8 years of experience in data modeling, designing semantic layers, and metric stores that support organizational consumption.
• Experience operating distributed data processing engines.

Responsabilidades

• Lead the research and development of metric frameworks and methodologies to assess Generative AI and agentic tooling within Workspace products.
• Collaborate with product engineering and central data infrastructure teams to resolve ambiguity and manage telemetry initiatives from inception through execution.
• Design and build scalable data models and analytic architecture connecting data across product domains.
• Scope and deliver self-serve analytics by creating unified semantic layers and dashboards.

Conocimientos

Statistics

Data analysis

Machine learning

Experimentation

Educación

Bachelor’s degree

Master’s degree

Herramientas

Python

R

SQL

Descripción del empleo

Google’s Collab Data Science team is seeking a Staff Product Data Scientist to support Workspace product development across Drive, Docs, Sheets, Slides, Pics, and Vids. In this role, you will help shape how the organization measures product outcomes, evaluates Generative AI and agentic tooling, and scales analytics through robust metric frameworks and data modeling.

This is an onsite position in New York, NY. The salary range is USD 192,000 - 278,000 per year.

What you’ll do

• Lead the research and development of metric frameworks and methodologies to assess the effectiveness, adoption, and efficiency of Generative AI and agentic tooling within Workspace products.
• Collaborate with product engineering and central data infrastructure teams to resolve ambiguity, define responsibilities, and manage multi-team telemetry and infrastructure initiatives from inception through execution.
• Design and build scalable data models and analytical architecture that connects data across distinct product domains to maintain cohesion.
• Scope and deliver initiatives for self-serve analytics by creating unified semantic layers, metric stores, executive dashboards, and AI-powered self-serve tooling.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10 years of experience using analytics to solve product or business problems, including statistical analysis and coding (such as Python, R, SQL), or 8 years with a Master’s degree.
• 8 years of experience with core product analytics concepts, including user engagement metrics, funnel analysis, and A/B testing infrastructure.
• 8 years of experience in data modeling, designing semantic layers, and metric stores that support organizational consumption.
• Experience operating distributed data processing engines.

Technologies

• Python
• R
• SQL

Preferred qualifications

• Master’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 12 years of work experience using analytics to solve product or business problems, including statistical analysis and coding (such as Python, R, SQL).

Benefits

• Health, dental, vision, and life insurance; disability insurance
• 401(k) with company match
• 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years of employment
• 40 hours/year sick time (increased to 69 hours/year for Seattle), including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• 13 paid holidays per year

During application, you can share a preferred working location from: Sunnyvale, CA; Boulder, CO; New York, NY; or Seattle, WA.