Agoda Data Scientist candidates describe a timed online assessment, then technical conversations heavy on probability, statistics and algorithms, and in some accounts a case study and manager discussion.
$72K
Avg. Base Comp
$88K
Avg. Total Comp
4 rounds
Typical Rounds
Not reported
Process Length
Candidates describe Agoda's Data Scientist interview as a process that tests mathematical depth and algorithmic skill as much as applied data science, and the format differs from one account to the next.
The early assessment is the clearest example. Two reports describe a CodeSignal-style test with a two-week deadline and five hours to finish three problems. One of them mentions two algorithm questions and a SQL question, including a target-number problem solved with addition and multiplication. Another account instead describes a Python and SQL screen, an AI-based role-fit assessment and a seven-day completion window. A further candidate recalls an online screen of basic math, logic puzzles and chart interpretation.
The technical rounds lean on probability and statistics. Reported questions include proving a probability scenario, proposing two estimators for the mean of a log-normal distribution, and a Bayes' theorem problem about booking fraud. Dynamic programming also appears, including a triangle-sum question and a stock-price earnings problem. One candidate also described modeling and experimentation design, along with questions on how past projects handled metrics and stakeholders.
Later stages vary. One candidate described a manager interview with Excel topics and an in-depth, role-specific case study, followed by an HR round and four rounds overall. Another recalled a behavioral question about disagreeing with a colleague. A third described three phone screens that were slow to schedule. Outcomes ranged from rejections to an accepted offer and a declined one.
Practice timed medium-to-hard algorithm problems, keep probability proofs sharp, and be ready to explain your work in business terms.
Synthesized from 7 candidate reports by our editorial team.
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Real interview reports from people who went through the Agoda process.
The first round was an HR screening round, where I was asked questions such as why I wanted to relocate, my current compensation, etc.
The second round focused on DSA and probability. I was asked a dynamic programming question in DSA and a question based on Bayes' theorem in probability.
Questions asked: A dynamic programming question related to sums in a triangle, and a Bayes' theorem question related to fraud in bookings.
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Topics based on recent interview experiences.
Featured question at Agoda
How would you assess the validity of the result?
| Question | |
|---|---|
| Decreasing Comments | |
| Button AB Test | |
| Maximum Profit | |
| Google Maps Improvement | |
| P-value to a Layman | |
| Reward Experiment | |
| Random Seed Function | |
| Causal Email Journey | |
| Flipping 576 Times | |
| Xgboost vs Random Forest | |
| Hurdles In Data Projects | |
| Target Indices | |
| Lasso vs Ridge | |
| Count Transactions | |
| Buy or Sell | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Client Solution Pushback | |
| Video Game Respawn Model | |
| Free Cancellation Incentives | |
| Booking Value Tradeoff | |
| Three Indexes Adding Zero | |
| Upsell Carousel | |
| Approximate Ad Views | |
| Marketing Dollar Efficiency | |
| Regularization and Validation | |
| Empty Neighborhoods | |
| 2nd Highest Salary | |
| Rolling Bank Transactions | |
| Upsell Transactions |
Synthesized from candidate reports. Individual experiences may vary.
Some candidates describe an opening conversation before any technical work. One recalls an HR screen with questions about why they wanted to relocate and their current compensation. Another describes a brief phone screen centered on their background and CV. Not every account mentions this step.
Two candidates describe a timed online test with a two-week deadline and five hours for three problems, including a target-number optimization question. One of them mentions a SQL question. A third candidate recalls a Python and SQL screen plus an AI-based role-fit assessment with a seven-day window. A fourth describes basic math, logic puzzles and chart interpretation.
Reported technical rounds focus on probability and statistics. Questions include a probability proof, two estimators for a log-normal mean, and a Bayes' theorem problem about booking fraud. Some candidates also mention dynamic programming (a triangle-sum question and a stock-price earnings problem), decision trees, SQL, modeling and experimentation design. One account describes a roughly two-hour interview with a team lead.
One candidate describes a manager interview on data science understanding and Excel topics, a role-specific case study as the deepest technical stage, and a final HR round, for four rounds overall. Others mention questions on real projects, metrics and stakeholder communication, a behavioral question about disagreeing with a colleague, and phone screens with a hiring manager and two data scientists.
