Top 50 algorithmic thinking Interview Questions
The most frequently asked algorithmic thinking questions across all roles and companies, ranked by real interview frequency. Updated daily.
Tests leading through ambiguity and prioritization when a simple-seeming technical task lacks clear requirements or success criteria.
DataAnnotation
SlalomTests leading through ambiguity and prioritization when stakeholders disagree and the data scientist must create clarity and drive outcomes.
Advantage Life Insurance
LG ElectronicsJJobspring PartnersTests structured thinking, prioritization, and communication while solving an unfamiliar problem under time pressure.
JPMorganChaseTests ambiguity management and technical influence when choosing a robust approach to high-cardinality categorical features.
The Boston Consulting GroupTests analytical judgment and ownership when validating edge cases and explaining array algorithm complexity.
PinterestTests how candidates design practical SQL or Python assessments that reveal structured reasoning, clarification skills, and analytical judgment.
ToyotaTests structured reasoning, defensive thinking, and ownership when implementing security logic without normal development tools.
JPMorganChaseTests analytical judgment, technical problem solving, ownership, and communication under case-study constraints.
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Identify missing, unexpected, duplicate, and inconsistent derived records using PostgreSQL validation queries.
Calculate weighted average selling prices by product using a date-range join, aggregation, and NULL handling.
Costar
Costar GroupAggregate completed Shopify sales and admin logins by merchant and month using CTEs, LEFT JOIN, and conditional logic.
Shopify