Data Scientist applicants have rated the interview process at TikTok with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 17% positive. To compare, the company-average is 37.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 13 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at TikTok overall takes an average of 26 days.
Common stages of the interview process at TikTok as a Data Scientist according to 6 Glassdoor interviews include:
Phone interview: 31%
Skills test: 31%
One on one interview: 23%
Group panel interview: 8%
Other: 8%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at TikTok in Oct 2021
Interview
Prise de contact par le RH pour fixer un premier entretien technique. Nécessité de proposer 5 tranches horaires. 2 à 3 entretiens techniques sont prévus, un document est envoyé en amont avec le détail des champs qui peuvent être abordés : sécurité, réseaux, programmation ...
L'entretien s'est fait à distance, en anglais, via l'outil HackerRank. Après un bref échange sur le parcours, nous avons procédé au test technique (écran partagé + webcam)
Interview questions [1]
Question 1
question de probabilités
question SQL : écrire une requête permettant de repérer un nombre de connexions entre 2 laps de temps
A former colleague referred me to the Data Scientist position at TikTok, which kicked off the interview process. The technical screen included a question about designing an A/B test for a ranking model, followed by an SQL challenge related to user sessions. The funny part was that the SQL problem was a twist on one I had been grinding through on PracHub just a few days prior. After some behavioral interviews, I received an offer, but ultimately decided to decline as it didn't align with my goals.
Interview questions [2]
Question 1
Walk me through how you'd design an A/B test for a new ranking model on the For You feed, and how you'd pick guardrail metrics.
Given a sessions table (user_id, session_start, session_end, country), write SQL to find the users whose average session length grew the most week-over-week.
I applied online. I interviewed at TikTok (London, England)
Interview
one medium level sql test and an open question
Since i'm not familiar with business context(though i actually spent time preparing AB test and causal inference), i didn't get what i should answer.
Interview questions [1]
Question 1
if tiktok shop is going to launch in Netherland, how to evaluate it before AB test