Google · Data
Google Data Scientist Interview Questions & Preparation
Quick answer
A Google Data Scientist interview combines Google's 4-stage process — recruiter screen, technical phone screen, onsite loop, hiring committee & team match — with the technical and behavioural bar for a Data Scientist. Expect Google to assess googleyness (collaboration, comfort with ambiguity) and intellectual humility, alongside core data scientist skills like statistics & probability and sql. Prepare data scientist answers framed around what Google specifically looks for.
How Google interviews Data Scientists
Google is one of the most selective employers in technology. Its process is deliberately standardised so that decisions are made on evidence rather than any single interviewer's opinion. Candidates are assessed on coding ability, problem structuring, communication, and alignment with how Google works.
For a Data Scientist specifically, Google pairs its standard assessment with a technical bar focused on statistics & probability, sql, python. Data science interviews test whether you can turn ambiguous business problems into measurable analyses. Strong candidates pair technical depth (stats, ML, SQL) with clear communication and product judgement.
The Google interview process
| Stage | What to expect |
|---|---|
| Recruiter screen | Background, role fit and logistics; sometimes a light technical warm-up. |
| Technical phone screen | 1–2 coding problems on a shared doc, scored on correctness and communication. |
| Onsite loop | 4–5 rounds: coding, system design (mid+), and Googleyness & Leadership. |
| Hiring committee & team match | An independent committee reviews packets, then you're matched to a team. |
What Google assesses
Data Scientist questions at Google
Expect a blend of Google's signature questions and core data scientist questions:
- 1Walk me through how you'd design Google Search autocomplete.
- 2Solve this graph problem and analyse its time complexity.
- 3Tell me about a time you worked with an ambiguous problem.
- 4Explain p-values to a non-technical stakeholder.
- 5Write a SQL query to find the second-highest salary per department.
- 6How would you design an A/B test for a new feature?
- 7When would you use precision vs recall?
- 8Tell me about a time your analysis changed a business decision.
- 9How do you handle missing data?
Example STAR answer
Example answer to: “Tell me about a time your analysis changed a business decision.”
Skills assessed
How to prepare for a Google Data Scientist interview
- Communicate constantly — the hiring committee reads notes, so your reasoning must be on the record.
- Practise 'Googleyness' stories: collaboration, ambiguity, humility.
- Define the metric and success criteria before reaching for a model.
- Practise SQL window functions and probability puzzles.
- Explain technical concepts in plain language — it's tested directly.
- Tie every analysis to a business decision.
Data Scientist salary
UK data scientists typically earn £45k–£85k, with senior and specialised roles exceeding £100k.
Frequently asked questions
What does the Google Data Scientist interview process involve?
Google's process runs through recruiter screen, technical phone screen, onsite loop, hiring committee & team match. For a Data Scientist, the technical rounds focus on statistics & probability, sql, python, and behavioural rounds assess googleyness (collaboration, comfort with ambiguity) and intellectual humility.
How many interview rounds does Google have?
Typically a recruiter screen, one or two technical phone screens, and an onsite loop of 4–5 rounds, followed by hiring committee review and team matching.
Is SQL tested in data science interviews?
Yes — SQL is almost always tested, including joins, aggregations and window functions.
How much machine learning do I need?
Enough to choose appropriate models, explain trade-offs and evaluate them properly. Depth scales with the role's seniority and specialism.
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