Skip to contentSkip to footer
  • Community
  • Jobs
  • Companies
  • Salaries
  • For employers
      Notifications

      Loading...

      Elevate your career

      Discover your earning potential, land dream jobs, and share work-life insights anonymously.

      employer cover photo
      employer logo
      employer logo

      Meta

      Engaged employer

      About
      Reviews
      Pay and benefits
      Jobs
      Interviews
      Interviews
      Related searches: Meta reviews | Meta jobs | Meta salaries | Meta benefits | Meta conversations
      Meta interviewsMeta Data Scientist, Analytics interviewsMeta interview


      Glassdoor

      • About / Press
      • Awards
      • Blog
      • Research
      • Contact Us
      • Guides

      Employers

      • Free Employer Account
      • Employer Centre
      • Employers Blog

      Information

      • Help
      • Guidelines
      • Terms of Use
      • Privacy and Ad Choices
      • Do Not Sell Or Share My Information
      • Cookie Consent Tool
      • Security

      Work With Us

      • Advertisers
      • Careers
      Download the App

      • Browse by:
      • Companies
      • Jobs
      • Locations
      • Communities
      • Recent posts

      Copyright © 2008-2026. Glassdoor LLC. "Glassdoor," "Worklife Pro," "Bowls" and logo are proprietary trademarks of Glassdoor LLC.

      Company Bowl sample

      Want the inside scoop on your own company?

      Check out your Company Bowl for anonymous work chats.

      Bowls

      Get actionable career advice tailored to you by joining more bowls.

      Followed companies

      Stay ahead in opportunities and insider tips by following your dream companies.

      Job searches

      Get personalised job recommendations and updates by starting your searches.

      Data Scientist, Analytics Interview

      6 Mar 2019
      Anonymous interview candidate
      Menlo Park, CA
      No offer
      Negative experience
      Average interview

      Application

      I applied through an employee referral. The process took 2 months. I interviewed at Meta (Menlo Park, CA) in Feb 2019

      Interview

      Standard process. I applied through an employee referral. Recruiter reached out and talked to me for about 30 minutes. He was really nice and through the entire process I felt like he really wanted me to succeed. First step was 45 minute Bluejeans interview with a data science manager (2 SQL questions + 2 product sense questions). Second step was onsite at Menlo Park with 4 rounds of interviews (SQL, probability and stats and product sense). Here are some of my observations about this role/ company: 1) Everyone who interviewed me was in their 20's. If you're older, it will work against you (you may not be "fit" for their culture). 2) If you're female and/or Asian, you have a leg up. I noticed more than 50% of people on campus were Asian. FB loves Asians. 3) This role is not really a data science role. It's more like a dumb version of product data analyst. You will work with a product owner and will run queries to answer questions. Don't expect to do sophisticated modeling or machine learning. 4) SQL, stats and probability questions are fair game and if you practice and study you can answer them. Product sense questions however are crap shoot. I personally thought my answers were good but for some reason the interviewer didn't like my answers.

      Interview questions [3]

      Question 1

      We have a table called ad_accounts(account_id, date, status). Status can be active/closed/fraud. A) what percent of active accounts are fraud? B) How many accounts became fraud today for the first time? C) What would be the financial impact of letting fraud accounts become active (how would you approach this question)?
      6 Answers

      Question 2

      You have 24 hours, how would you measure what % of FB stories are fake news? How would you refine your process if you have more time?
      2 Answers

      Question 3

      We have two types of reviewers: careful reviewer (80% of reviewers) and lazy reviewers (20% of reviewers). Careful reviewers rate a post positive 60% of time and negative 40% of time). Lazy reviewers however rate a post positive 100% of time. A) what is the probability that a random ad is reviewed positively? B) If an ad gets a negative review, what is the probability that it's reviewed by a lazy reviewer? C) If 3 ads are reviewed positively in a row, what is the probability that they are reviewed by a lazy reviewer? D) Some as above with n positively reviewed ads in a row. What happens when n goes to infinity? E) If we have very few labeled data, how can we build a model to distinguish between careful and lazy reviewers?
      2 Answers
      36

      Other Data Scientist, Analytics interview reviews for Meta

      Data Scientist - Analytics Interview

      8 Feb 2024
      Anonymous interview candidate
      No offer
      Positive experience
      Average interview

      Application

      I applied through an employee referral. The process took 4 weeks. I interviewed at Meta in Feb 2024

      Interview

      Firstly, the recruiter emailed me some questions, including basic inquiries about my background, projects I've worked on, and how I approach product cases. The interview process consisted of two rounds, each comprising a mix of technical questions, behavioral assessments, and product case studies. In the initial round, the focus was on technical proficiency, evaluating my knowledge and skills relevant to the role. This involved discussing past projects in detail, demonstrating problem-solving abilities, and assessing my understanding of key concepts within the field. The second round delved deeper into behavioral questions, aiming to gauge my interpersonal skills, communication abilities, and how I approach challenges in a team environment. Additionally, I was presented with more complex product cases, requiring me to analyze scenarios, propose solutions, and articulate my reasoning effectively. Overall, the interview process provided a comprehensive assessment of both my technical capabilities and my suitability for the role in terms of teamwork, problem-solving, and product understanding.

      Interview questions [1]

      Question 1

      Some python and sql questions. Some product cases, for example, they launched reel, but the time spent decreased. they asked you to provide reason and solution.
      Answer question
      1

      Data Scientist, Analytics Interview

      15 Jan 2022
      Anonymous interview candidate
      No offer
      Neutral experience
      Average interview

      Application

      I applied online. I interviewed at Meta

      Interview

      Recruiter call followed by an hour-long interview. I didn't make it to the next round, but I know that it consists of 4 different interviews. There are several resources online to prepare

      Interview questions [1]

      Question 1

      SQL question, related to joins, timestamps
      Answer question

      Data Science, Analytics Interview

      5 Nov 2021
      Anonymous interview candidate
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. I interviewed at Meta

      Interview

      The first section of the interview was a case analysis, and the second section of the interview covered two SQL questions. The SQL questions were quite similar to Leetcode's "medium" difficulty questions – I would recommend using Leetcode to prepare for your Facebook DS/Analytics interviews!

      Interview questions [1]

      Question 1

      Two SQL questions and one case question.
      Answer question

      Top companies for "Compensation and Benefits" near you

      avatar
      Amazon
      3.7★Compensation and benefits
      avatar
      Google
      4.5★Compensation and benefits
      avatar
      Bitpanda
      3.8★Compensation and benefits
      avatar
      Amazon Web Services
      3.9★Compensation and benefits