Staff Product Data Scientist, Education at Google
About the role
Minimum qualifications: Bachelors 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, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Masters degree. Preferred qualifications: Masters degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years…
Interview process at Google
Coding-heavy with a system-design round for senior levels and a Googleyness/leadership round throughout.
- Recruiter phone screen (30 min)
- Technical phone screen - 1 coding problem (45 min)
- Onsite/virtual loop: 4-5 rounds (coding x 2-3, system design, Googleyness)
- Team match (if you pass)
- Hiring committee review + offer
Platforms used: internal loop (no third-party)
How to prepare
MiPrep helps you rehearse the specific cadence and question types Google interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.