Tokopedia Data Science Interview Questions and Answers (2026 Guide)

Quick answer: Tokopedia is Indonesia's e-commerce marketplace, part of GoTo Group since its 2021 merger with Gojek, though since January 2024 TikTok holds a controlling 75.01% stake in Tokopedia and GoTo's share has fallen to 24.99%. Tokopedia genuinely hires data roles out of a real Noida, India office, and Glassdoor's India-specific interview pages describe a HackerRank technical test, an HR round and one to three user interviews covering SQL, algorithms and past project deep-dives.

About Tokopedia

Tokopedia was founded in 2009 by William Tanuwijaya and Leontinus Alpha Edison as an Indonesian consumer-to-consumer and business-to-consumer marketplace. On 17 May 2021 it merged with ride-hailing and fintech company Gojek to form GoTo Group, at the time Indonesia's largest-ever startup merger. (Gojek, GoTo announcement) The corporate picture has since changed again: in January 2024, TikTok completed an $840 million deal folding its Indonesian TikTok Shop business into Tokopedia in exchange for a controlling 75.01% stake, reducing GoTo's holding to 24.99%. Tokopedia now operates as a joint venture between GoTo and TikTok, with TikTok as the controlling partner. (GoTo Company, press release; DealStreetAsia) Tokopedia maintains a real office in Noida, Uttar Pradesh, rated 4.3 out of 5 by employees across 120 Glassdoor reviews, and has listed Data Scientist and Data Analyst roles there requiring roughly 2 to 5 years of experience. (Glassdoor, Tokopedia Noida office; Instahyre, Data Scientist listing)

Tokopedia's Interview Process

• A HackerRank technical test is the most consistently reported first stage for Data Scientist candidates, covering basic coding logic (if-statements, for-loops), SQL, and basic algebra or statistics. Reports vary on what follows: some candidates describe an HR round plus two user interviews, others describe an HR round plus a user interview with a direct manager and a second user interview at VP level. (Glassdoor, Data Scientist interview questions)

• A separate, more detailed account describes a four-round loop for a senior Data Scientist opening: a round with a Data Scientist covering past projects and general data-science problems, a round with a Lead Data Scientist going into algorithms such as CNN and LSTM with real use-cases, a round with the Head of Data Science discussing prior problems and solutions, and a final round with the reporting manager on the role itself. (Glassdoor, Data Science interview questions)

• Data Analyst candidates report a shorter, two-round process: an HR interview covering background and interest in data, and a "user interview" split into three parts, walking through past experience, a business case study, and open Q&A with the interviewer. For more senior Data Analyst openings, a third stage is added: a HackerRank multiple-choice test on basic statistics, SQL and data visualization, before the HR and user-interview rounds. (Glassdoor, Data Analyst interview questions)

• Tokopedia has a dedicated Glassdoor interview page for New Delhi, India-based candidates specifically, which is a genuine India-relevance signal rather than an assumption on our part. (Glassdoor, New Delhi interview questions) Across all roles, Tokopedia's overall Glassdoor interview-experience rating is 87.4% positive with a difficulty score of 3.15 out of 5, and the average hiring process runs about 23 days end to end.

What Candidates Report

Recurring technical themes across the Data Scientist and Data Science aggregate pages include tree-based algorithms, evaluation metrics, and backpropagation, with some interviewers going deep into CNN and LSTM architectures and asking for real use-cases rather than textbook definitions. Every account we found, regardless of exact round count, emphasizes a substantial project deep-dive: candidates are expected to explain their own past work in detail, not just answer generic ML theory questions. For Data Analyst rounds, the recurring theme is a business-facing case study, being asked to reason through how you, as a data analyst, would approach solving a stated business problem, alongside standard "why Tokopedia" and career-background questions.

What We Could Not Verify

Glassdoor's individual interview-question pages for Tokopedia returned an access error on direct fetch, so the process detail above is built from search-indexed summaries of those pages rather than a full read of every listed review, consistent with how we source several other guides in this series. We could not find a verbatim, individually attributed Tokopedia data-science case-study question, for example an actual marketplace-fraud or seller-ranking problem statement, on any source we could access. We also could not confirm whether the TikTok-Tokopedia joint venture has changed the day-to-day interview process itself since January 2024; all the interview accounts we found predate or do not specify a date relative to that ownership change, so we cannot say whether the loop described above still applies unchanged.

How to Prepare

• Practise SQL and basic coding logic on HackerRank specifically, since it is the consistently confirmed first technical gate.

• Prepare a detailed walkthrough of your own past projects, including the specific algorithms you used and why, since every account we found treats this as a major component.

• Revise CNN, LSTM and backpropagation at a conceptual, use-case level, not just formulas, since senior loops probe for real applications.

• For Data Analyst roles, rehearse a structured business case-study answer and a clear "why Tokopedia" narrative, both explicitly reported as part of the user-interview stage.