Meta Data Scientist Interview Questions
Meta’s Data Scientist interviews target candidates who can turn large-scale product data into clear, measurable product decisions. Expect a blend of technical and product-focused assessments: Meta Data Scientist interview questions often probe SQL and Python data manipulation, statistical inference and A/B test design, metric definition and instrumentation, and product sense around engagement and growth. Distinctive to Meta is the emphasis on scale, experimentation, and the ability to communicate actionable insights to engineers and product managers; interviewers typically evaluate both analytical rigor and storytelling clarity. The process usually begins with a recruiter screen, moves to one or more technical screens (coding/SQL plus a product or metrics case), and culminates in a loop of interviews that combine analytics, research-design, and behavioral rounds. For effective interview preparation, prioritize timed practice on data manipulation problems, refresh hypothesis testing and power intuition, rehearse product-metric case studies aloud, and craft concise STAR stories that emphasize measurable impact. Complement technical practice with mock interviews and clear explanations of tradeoffs so you can translate analyses into product recommendations under time pressure.
Fake Accounts [AE]
Detecting and Managing Bad Accounts on a Social Platform 1) Probability of a Bad Account Sending Friend Requests Context: 1% of accounts are bad. Bad ...
Identify User Interest in Group Video Calls Using Data
Group Video-Calling Feature Analysis Context You are asked to design, launch, and analyze a new group video-calling feature for a large social/messagi...
Evaluating a 15 % reduction in post‑card height
Scenario You own the feed UX for a social app. Designers propose shrinking each post card’s height by 15% to show more content per scroll, aiming to i...
Analyze Conversation Engagement and Reaction Usage Effectively
messages +-----------+--------+----------+--------------+---------------------+ | messageid | sender | receiver | has_reaction | timestamp |...
Calculate Response Rate and Compare User Survey Ratings
USERS user_id | signup_date 10 | 2024-03-20 11 | 2024-04-01 12 | 2024-04-05 SURVEYS survey_id | user_id | sent_at 1 | 10 ...
Analyze Group Call Adoption Using SQL Queries
CALL_LOGS | call_id | user_id | call_start | call_end | is_group_call | participant_cnt | | 101 | 12 | 2023-08-01 10:00...
Design an Experiment to Evaluate New Recommendation Model
Experiment Design: New Ads Ranking Model vs. Current System Context You are evaluating a newly built ML ranking model for an ads recommendation surfac...
Analyze User Comment Distribution and Sampling Effects
Scenario You are analyzing daily comment counts per user. The per-user distribution of counts is right-skewed (many zeros/low counts and a long right ...
Calculate Total Revenue in USD Using SQL Query
ads_revenue +---------+------------+---------+----------+ | ad_id | country | revenue | currency | +---------+------------+---------+----------+ ...
Identify Top Three Active Users by Event Date
event_log +------------+---------+-----------+---------------------+ | event_date | user_id | event_type| event_timestamp | +------------+--------...
Calculate Posterior Probability of Flagged User Being Bad Actor
Bayesian inference for abuse detection with error control Setup A platform runs a binary classifier that flags users who might be bad actors. Let: - p...
Determine Features for Effective Hashtag Recommendations
Hashtag Recommendation System Design Context You are designing a hashtag recommendation system for a social-media platform. Given a user u composing a...
Calculate Average Session Length and Compare App Performance
user_sessions +---------+------------+------------+---------------------+---------------------+ | user_id | session_id | app | session_start ...
Evaluate the Success of Instagram Checkout
Scenario You are evaluating whether to launch Instagram Checkout, which allows users to purchase products without leaving Instagram. Your task is to a...
Improve YoY Revenue Analysis with Complementary Metrics
ads_revenue +------------+-----------+ | date | revenue | +------------+-----------+ | 2023-01-01 | 120000 | | 2023-02-01 | 125500 | | 2...
How to Validate Friends' Content Engagement Hypothesis?
Evaluating Friends' vs Unconnected Content in the Info Stream Context The Info Stream currently prioritizes content from a user's friends. The product...
Analyze Distribution of Daily Page Shares Per User
Engagement Distributions and Cohort Dynamics You are analyzing per-user, per-day engagement. Assume a day-level panel with all users included (inactiv...
Calculate Engagement Metrics for Info-Stream Content Analysis
info_stream_views +----------+-----------+--------------+----------+------------+ | post_id | viewer_id | relationship | duration | ds | +---...
Design Experiment to Evaluate New Video-Ad Effectiveness
Experiment Design: Measuring the Impact of a New Video‑Ad Format Context You are designing an experiment for a large consumer app that runs an ad auct...
Analyze Central Limit Theorem in User Comment Distribution
Comments per User — CLT, Expectation, SD, and 95% CI Context You are measuring how many comments each user makes in a fixed time window (e.g., one wee...