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Lazada Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 10 interview experiences · FREE TO READ

3.1 Rounds average
Average Typical difficulty
40% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Lazada.

Showing 3 of 10
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Lazada

Data Scientist

Analytics · more than a year ago

Mid Difficult Negative experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Technical Behavioral

HR was responsive and sent rejection emails quickly. However, the company showed poor time management. The interview was rescheduled the day before due to an 'urgent meeting'. For the rescheduled interview, the interviewer didn't show up, citing a 'meeting'. For the next rescheduled interview, the interviewer called 30 minutes early because their 'meeting' ended sooner! The hiring manager interview was very one-sided. I applied because I had a good impression from previous chats with data science managers, making the disappointing experience worse. I recommend applying for a 'great' learning experience that helps you appreciate other interviews.

Confirmed questions1 question
  • Were you asked about cold start problems?
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Lazada

Data Scientist

Analytics

Mid Average Positive experience No offer 4 rounds
Interview process
Technical screen Technical screen Technical screen Recruiter call
Interview formats
Coding Technical Case Behavioral

The whole interview process took about 3 weeks. It consisted of 3 technical rounds and 1 HRBP round. The first round was a live coding interview with the VP, where I was asked a Leetcode easy question and two medium SQL questions. The second round was a technical interview with the SVP, focusing on a deep dive into my previous projects and the machine learning theory behind them, along with some case studies on ecommerce problems. The third round was with the EVP, where we went through my past projects and educational background, with a specific focus on applying ML techniques to solve ecommerce problems. Finally, the fourth round was with the HRBP, covering culture fit and behavioral questions.

Confirmed questions2 questions
  • What loss function did you use in ML algorithms?
  • Can you describe how to solve the product matching problem?
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Lazada

Data Scientist

Analytics

Entry Average Positive experience Accept offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical Coding

So first, there was a recruiter call, and then we had a technical screen. During the technical screen, I was asked to introduce myself, talk about a project, and then answer some questions about deep learning and do a LeetCode problem.

Confirmed questions4 questions
  • Can you introduce yourself?
  • Can you introduce a project you worked on?
  • What's your general knowledge in deep learning?

Lazada Data Scientist Interview Questions

Quoted word for word from Lazada interview reports.

Given the head of a linked list, return the node where the cycle begins. If there is no cycle, return None. There is a cycle in a linked list if there is some node in the list that can be reached again by continuously following the next pointer.

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What's the distinction between regression and classification in ML?

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Can you explain the differences between Random Forest and Gradient Boosting Machines?

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How can one address class imbalance in machine learning models?

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Can you describe how to solve the product matching problem?

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Formats, difficulty and experience

Across all 10 Lazada interview reports.

Interview formats

Technical 41.4%
Behavioral 31%
Coding 24.1%
Case 3.4%

Interview difficulty

Easy 0%
Average 70%
Difficult 30%

Candidate experience

Positive 40%
Neutral 50%
Negative 10%