Senior Data Scientist — Analytics Leader (Equity & Bonus)

Google; Sunnyvale (CA); 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 per year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 days

Job summary

Google is seeking a Data Scientist to help serve Google's global user base by providing quantitative support, market understanding, and strategic insights. You will transform data into actionable recommendations for engineering and product teams, weaving storytelling with numbers and delivering presentable findings to leadership.

Google emphasizes a broad technical skill set and the ability to navigate large-scale analytics, from data extraction to visualization, to support high-impact decisions

Qualifications

• Bachelor's degree in a quantitative field and 10 years of analytics experience solving product/business problems, with statistical analysis and coding (Python/R/SQL).
• 8 years experience with Master's degree or 10+ years without. Master’s preferred for deeper analytics capabilities.

Responsibilities

• Perform analyses using SQL, R, Python and provide analytical leadership to drive business improvements.
• Own project outcomes from problem framing to metrics development, data handling, modeling, and stakeholder presentation.
• Lead and mentor colleagues, manage cross-functional timelines, and define operational goals and initiatives.
• Oversee cross-functional project timelines and drive process improvements within the analytics function.
• Contribute to team development and capability-building within the data science group.

Skills

Analytics

Python

R

SQL

Education

Bachelor's degree in statistics, mathematics, data science, engineering, physics, economics, or related quantitative field

Master's degree in statistics, mathematics, data science, engineering, physics, economics, or related field

Tools

Python

R

SQL

Job description

Google is seeking a Data Scientist to help serve Google's global user base by providing quantitative support, market understanding, and strategic insights. You will transform data into actionable recommendations for engineering and product teams, weaving storytelling with numbers and delivering presentable findings to leadership.

Google emphasizes a broad technical skill set and the ability to navigate large-scale analytics, from data extraction to visualization, to support high-impact decisions