Agoda Data Scientist candidates reported SQL, statistics, case-study presentation, and unexpectedly demanding DSA-style coding alongside recruiter and manager conversations.
$72K
Avg. Base Comp
$88K
Avg. Total Comp
4 rounds
Typical Rounds
3-4 weeks
Process Length
Agoda Data Scientist interviews in these reports combine core analytics with a notable coding component. One candidate described a Python-and-SQL screen, followed by an AI-based assessment and a separate assessment covering SQL plus high-level probability and statistics. That candidate said the manager conversation focused on data science understanding and Excel-related topics, while a role-tailored case study was the deepest technical component.
A second candidate likewise encountered SQL, statistics, logic, and a case study, but also described an OA-style coding component that felt more algorithmic than expected for a data science role: three mostly medium- and hard-level questions, including a DP-based problem, followed by another virtual coding question. Prepare for both practical data-science reasoning and timed algorithmic coding. For the case work, practice presenting a structured approach and defending its choices; one candidate had about a week to prepare before presenting.
Interview reports differ in how they count and sequence the assessments, so treat the exact loop as variable. Still, candidates should be ready to explain motivation, walk through prior work and problem-solving, and move comfortably between SQL/statistics questions, a role-specific case, and coding exercises.
Synthesized from 2 candidate reports by our editorial team.
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Real interview reports from people who went through the Agoda process.
The process was structured around several assessments before the final conversations. I first completed a coding screening focused on Python and SQL, followed by an AI-based assessment that tested my fit for the role and my understanding of it. Another stage included SQL questions along with high-level probability and statistics, and the assessments had to be completed within a seven-day window.
The manager interview was a genuinely smooth experience. It focused on my data science understanding and included Excel-related topics, rather than feeling like another pure coding round. The most substantial technical component was an in-depth case study tailored to the role I was being considered for. By the time I reached the HR round, I had completed four rounds overall. I ultimately declined the offer.
My main advice is to prepare across the full mix: practice Python and SQL screening questions, refresh high-level probability and statistics, and be ready to explain core data science concepts and Excel work in a manager conversation. Spend extra time on a role-specific case study, since that was the deepest part of the process.
Prep tip from this candidate
Prepare for a Python-and-SQL coding screen, then refresh high-level probability/statistics and Excel topics for the manager discussion. Expect the deepest technical stage to be an in-depth case study tailored to the specific data science role.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
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Synthesized from candidate reports. Individual experiences may vary.
One candidate reported a coding screen focused on Python and SQL, followed by an AI-based assessment about role fit and understanding. That report says the assessments had to be completed within a seven-day window.
A candidate reported a first interview covering SQL, statistics, logic, and a motivation question. Another candidate separately described SQL plus high-level probability and statistics in an assessment, so the placement of those topics may vary.
Candidates report a substantial case component tailored to the data science role. One had about a week to prepare before presenting the data case in a later interview; another called the in-depth case study the deepest technical stage.
One candidate encountered OA-style medium-to-hard DSA questions, including a DP-based problem, plus another virtual coding question and a manager conversation. Another reported manager discussion of data science understanding and Excel-related topics before HR.
