Staff Research Data Scientist, Search AI Product at Google
About the role
Minimum qualifications: Masters degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Preferred qualifications: 10 years of work experience using analytics to solve product or business problems, coding (e.g., Py…
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.