Google DSP Sr. Staff Manager
Data Scientist
Google
Staff
8 rounds
Updated 2/25/2026
Google's Data Scientist interview process for Staff-level candidates at the Workspace Monetization team involves a comprehensive evaluation spanning 4-8 weeks. The process includes an initial recruiter screening, two technical phone screens assessing statistical rigor and coding proficiency, followed by five on-site interview rounds evaluating analytics expertise, experimentation design, machine learning knowledge, product business acumen, leadership capability, and strategic thinking. At the Staff level, interviews emphasize mastery of measurement strategy, cross-functional influence, mentorship of technical talent, and ability to drive monetization insights that shape product roadmaps and business outcomes across a major Google product.
Interview Rounds
1
Recruiter Screening
40 min5 focus topicsculture fit
2
Technical Phone Screen 1: Statistical Analysis, Experimentation & Measurement
50 min5 focus topicstechnical
3
Technical Phone Screen 2: Coding, SQL & Data Manipulation
75 min5 focus topicstechnical
4
On-site Round 1: Monetization Analytics Case Study & Business Problem Solving
75 min5 focus topicscase study
5
On-site Round 2: Machine Learning & Predictive Modeling for Monetization
70 min5 focus topicstechnical
6
On-site Round 3: Product Sense & Measurement Infrastructure
70 min5 focus topicscase study
7
On-site Round 4: Behavioral, Collaboration & Leadership
55 min5 focus topicsbehavioral
8
On-site Round 5: Strategic Leadership, Data Science Vision & Organizational Strategy
70 min5 focus topicstechnical
Additional Information