Passa al contenutoPassa al piè di pagina
  • Lavori
  • Aziende
  • Stipendi
  • Per le aziende

      Migliora la tua carriera

      Scopri le tue potenzialità di guadagno, trova lavori da sogno e condividi approfondimenti su lavoro e vita privata in forma anonima.

      employer cover photo
      employer logo
      employer logo

      Meta

      Azienda coinvolta

      Circa
      Recensioni
      Stipendi e benefit
      Lavori
      Colloqui
      Colloqui
      Ricerche correlate: Recensioni su Meta | Offerte di lavoro di Meta | Stipendi di Meta | Benefit di Meta
      Colloqui di MetaColloqui per Data Scientist presso MetaColloquio di Meta


      Glassdoor

      • Chi siamo
      • Contattaci

      Aziende

      • Account Business gratuito
      • Spazio per le aziende
      • Blog per le aziende

      Informazioni

      • Aiuto
      • Linee guida
      • Condizioni d'uso
      • Privacy e scelte pubblicitarie
      • Non vendere né condividere le mie informazioni
      • Strumento per l'accettazione dei cookie

      Lavora con noi

      • Inserzionisti
      • Carriere
      Scarica l'app

      • Cerca:
      • Aziende
      • Lavori
      • Località

      Copyright © 2008-2026. Glassdoor LLC. "Glassdoor," "Worklife Pro," "Bowls" e il relativo logo sono marchi registrati di Glassdoor LLC.

      Aziende seguite

      Non lasciarti sfuggire opportunità e informazioni privilegiate seguendo le aziende dove vorresti lavorare.

      Ricerche di lavoro

      Ricevi suggerimenti e aggiornamenti personalizzati avviando le tue ricerche.

      Colloquio per Data Scientist

      1 apr 2019
      Candidato anonimo a colloquio
      Menlo Park, CA
      Nessuna offerta
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 3 mesi. Ho sostenuto un colloquio presso Meta (Menlo Park, CA) nel mese di mar 2019

      Colloquio

      Recruiter reached out to scout for interest - he was extremely helpful, informative, and encouraged me to take my time to prepare with thorough material. FB wants you to be as prepared as possible with no surprises/tricks to the interview to pick out those who are not only the most qualified but also the best prepared. Scheduled the initial interview around ~2.5 months out. Video Interview - 45 minutes with a Data Scientist. He opened with a quick rundown of my background and why I want to work for Facebook, but the bulk of the interview was technical - the first half being SQL on Coderpad and the second being product interpretation. I passed and received confirmation that I would advance to the onsite on the same day. On Site Interview - 4 30-minute rounds testing various topics surrounding applied data, product sense, probability & statistics, and SQL (or Python/R), with a 45 minute lunch in between with a data scientist who is there to help you answer any questions (not part of the interview. Zero questions on behavioral or anything regarding my background. I was not extended an offer and was communicated the rejection shortly after. Overall, a very pleasant experience - FB is a top notch company with best practices, though of course, individual experience can and will widely vary. For on-site, it's very important that you map and diagram your thoughts on the white board. Most questions appear as though there is a specific answer in mind that they are looking for, though the way you get there might be flexible. The best way to prepare is to think through the different scenarios and products and figure out a way to build a business case around measuring some metric or improving the product. Expect lots of pushback with detailed, probing questions during your answers.

      Domande di colloquio [3]

      Domanda 1

      Suppose FB wants to launch feature X on product Y - how would you assess whether or not this is a good idea? How about when standard AB Testing does not work?
      Rispondi alla domanda

      Domanda 2

      Given a table of users, dates, statuses, etc. - calculate the ratio X grouped by Y on day Z. Call out edge cases - don't assume anything about the data without clarifying.
      Rispondi alla domanda

      Domanda 3

      Given a scenario X - figure out the probability of A, probability of A given B, etc. Draw out the distribution of users in scenario Y - figure out what the mean, median, and xth percentile is.
      Rispondi alla domanda
      12

      Altre recensioni di colloqui per Data Scientist presso Meta

      Colloquio per Data Scientist

      19 giu 2026
      Dipendente anonimo
      Offerta accettata
      Esperienza neutra
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Meta

      Colloquio

      Tough interview overall—definitely not what I expected. The technical rounds were intense, particularly when they had me design an A/B test for the News Feed ranking algorithm. I had to discuss metrics and sample sizes in detail. Lucky for me, the time I spent on PracHub right before the interview helped me nail that deep-dive question as it mirrored what I practiced. The behavioral questions felt standard but were still challenging. After a whirlwind process, they extended an offer, which I happily accepted.

      Domande di colloquio [1]

      Domanda 1

      Design an A/B test to evaluate a new ranking algorithm for the Facebook News Feed. Walk through metric selection (engagement, time-spent, MSI, well-being), unit of randomization given network effects between friends, sample size and power calculations, how you'd detect novelty effects vs. true lift, and how you'd handle a guardrail metric regressing while the primary metric is up.
      Rispondi alla domanda

      Colloquio per Data Scientist

      11 giu 2026
      Dipendente anonimo
      Cambridge, MA
      Offerta accettata
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Meta (Cambridge, MA)

      Colloquio

      Total 7 rounds: first round for resume screening, second for technical screening, then for on-site virtual with 4 interviews back to back, then hiring manager round after team matching and then salary negotiation with HR

      Domande di colloquio [1]

      Domanda 1

      Meta’s evaluation rubrics focus heavily on "Product Thinking over Fancy Math". Interviewers want to see if you can operate like a product owner with an analytical mindset, navigating messy scenarios affecting billions of users
      Rispondi alla domanda

      Colloquio per Data Scientist

      23 mag 2026
      Dipendente anonimo
      Menlo Park, CA
      Offerta accettata
      Esperienza neutra
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Meta (Menlo Park, CA)

      Colloquio

      The Interview Process is very structured - First Tech Screening round - 45 mins (usually can extend a bit depending on the interviewer) - 2 SQL Questions ( Medium to Hard ) - based on Joins Full Loop - 4 rounds 45 mins each. - SQL - Behavioral - Analytical Execution - stats & prob, A/B testing, case study - Analytical Reasoning - Case study

      Domande di colloquio [1]

      Domanda 1

      Questions on Bayes Theorem, Probability distribution, etc.
      Rispondi alla domanda

      Le migliori aziende per "stipendio e benefit" vicino a te

      avatar
      Amazon
      3.7★Stipendio e benefit
      avatar
      Google
      4.5★Stipendio e benefit
      avatar
      HENNGE
      3.8★Stipendio e benefit
      avatar
      xneelo
      3.8★Stipendio e benefit