Meta · Data
Meta Data Scientist Interview Questions & Preparation
Quick answer
A Meta Data Scientist interview combines Meta's 4-stage process — recruiter screen, technical screen, onsite loop, debrief & team match — with the technical and behavioural bar for a Data Scientist. Expect Meta to assess move fast and be bold, alongside core data scientist skills like statistics & probability and sql. Prepare data scientist answers framed around what Meta specifically looks for.
How Meta interviews Data Scientists
Meta's culture centres on impact, speed and openness. Interviews reflect that: coding rounds are time-boxed and fast-paced, and behavioural rounds explore how you drive impact and work with others. Product and design roles weight execution and product sense heavily.
For a Data Scientist specifically, Meta 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 Meta interview process
| Stage | What to expect |
|---|---|
| Recruiter screen | Background, motivation and logistics. |
| Technical screen | Two coding problems in ~45 minutes — speed and correctness both count. |
| Onsite loop | Two coding rounds, a system/product design round, and a behavioural (Jedi) round. |
| Debrief & team match | Panel debrief, then matching to a specific team. |
What Meta assesses
Data Scientist questions at Meta
Expect a blend of Meta's signature questions and core data scientist questions:
- 1Solve two medium coding problems in 45 minutes.
- 2Design Facebook's news feed ranking system.
- 3Tell me about a project where you had the most impact.
- 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 Meta Data Scientist interview
- Practise solving two problems in 45 minutes — pace is part of the test.
- Frame behavioural answers around measurable impact.
- 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 Meta Data Scientist interview process involve?
Meta's process runs through recruiter screen, technical screen, onsite loop, debrief & team match. For a Data Scientist, the technical rounds focus on statistics & probability, sql, python, and behavioural rounds assess move fast and be bold.
How fast are Meta coding interviews?
Meta's technical screen typically asks for two medium problems in about 45 minutes, so pace and correctness both matter.
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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