Katkat

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Moloco interview questions

5 practice questions in the style of Moloco's interviews, covering Coding & Algorithms, System Design, Data Manipulation (SQL/Python).

Questions5

0 easy2 medium3 hard

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Moloco interview questions by the numbers

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Katkat has 5 Moloco interview questions. The largest topics are Coding & Algorithms (60%), Data Manipulation (SQL/Python) (20%) and System Design (20%). By difficulty: 40% medium and 60% hard. The most common round is Technical Screen (60%).

Topics

Difficulty

  • Medium40% · 2
  • Hard60% · 3

Interview rounds

  • Technical Screen60% · 3
  • Onsite40% · 2

Roles

  • Software Engineer80% · 4
  • Data Scientist20% · 1

Showing 1–5 of 5 results

  • Can you visit all rooms and score parentheses?Medium

    The first problem evaluates graph traversal and reachability by modeling rooms and keys as an implicit graph, and it is commonly asked to assess reasoning about connectivity and exploration in graph-theoretic settings; this falls under the algorithms/graph theory domain and emphasizes practical application of traversal techniques.

    MolocoSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Compute subarray span for each elementHard

    This question evaluates array reasoning and competency in determining span-like influence regions under maximum-value constraints for each element, including handling circular-array extensions and scalability considerations.

    MolocoSoftware EngineerCoding & AlgorithmsTechnical Screen
  • Design Search AutocompleteHard

    This question evaluates system design skills for building a large-scale, low-latency autocomplete service, including distributed architecture, indexing and ranking strategies, caching, ingestion pipelines, sharding, and operational trade-offs.

    MolocoSoftware EngineerSystem DesignOnsite
  • Find top advertisers and cost per KPIMedium

    This question evaluates proficiency in data manipulation and analytical SQL/Python skills, including aggregation, ranking with ties, dataset joins at a defined grain, date-based filtering relative to campaign launch dates, and handling division-by-zero scenarios when computing cost metrics.

    MolocoData ScientistData Manipulation (SQL/Python)Technical Screen
  • Support Dynamic Range SumsHard

    This question evaluates knowledge of data structures and algorithmic techniques for range queries and dynamic updates, along with complexity analysis for time and space.

    MolocoSoftware EngineerCoding & AlgorithmsOnsite

Moloco interview experiences

All 2 →
  • Ranking Design, Two Pointers, and ML FundamentalsMoloco · Machine Learning Engineer · Onsite · Aug 2026
    Rejected

    The phone screen was a conversation with the hiring manager that included a project deep dive and behavioral questions. The onsite included another project deep dive and a system design question related to ranking. The coding question used two pointers to find the longest consecutive run of 1s. The follow-up asked how to handle an especially long input across multiple machines. I was also asked a…

  • A SQL and Open-Ended EDA Phone Screen, Rejected Days LaterMoloco · Data Scientist · Technical Screen · Apr 2026
    Rejected

    Sharing an interview report for a niche ad company. A recruiter reached out to me on LinkedIn about an opening on a Product Analytics Data Science team. Before the interview they sent over a prep doc saying the technical phone screen would cover SQL + Python/R, with the focus on data manipulation, not modeling. The prep doc also mentioned they might ask about past project details and what I learn…

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