Staff Data Scientist: Analytics Leader, Global Impact

Google; Mountain View (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/year

Sick leave 40 hours/yr

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 days

Job summary

Google is seeking a data scientist to serve as an analytics expert for partners across Engineering and Product Management. You will weave meaningful insights from data and communicate findings to leadership, turning numbers into strategic decisions.

Google emphasizes broad technical skills and tackling scalability and platform challenges to impact users worldwide. Individual pay is determined by skills, experience, and education.

Qualifications

• Bachelor's degree in a quantitative field.
• 10 years of work experience with analytics, statistics, and coding (or 8 years with a Master's).

Responsibilities

• Perform analysis using SQL, R and Python; provide analytics leadership to drive business improvements.
• Own project outcomes from problem definition to metrics, data extraction, modelling and stakeholder presentation.
• Develop solutions, frame problems and make data-driven recommendations combining analytics and product context.
• Oversee cross-functional timelines; drive process improvements and define operational goals.
• Mentor colleagues and help develop capabilities in analytics.

Skills

Analytics

Statistical analysis

Programming

SQL

Python

R

Education

Bachelor's degree

Master's degree preferred

Tools

SQL

R

Python

Job description

Google is seeking a data scientist to serve as an analytics expert for partners across Engineering and Product Management. You will weave meaningful insights from data and communicate findings to leadership, turning numbers into strategic decisions.

Google emphasizes broad technical skills and tackling scalability and platform challenges to impact users worldwide. Individual pay is determined by skills, experience, and education.