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Interview questions
Explore algorithm tutorials, coding and system design questions, interview experiences, and computer science study guides.
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Interview questions · Thumbtack
Lead XFN decision under tight timeline
This question evaluates cross-functional leadership, stakeholder alignment, rapid decision-making under time pressure, data triage and technical judgment, executive communication, and risk management skills.
Interview questions · Kayak
Leadership, Entrepreneurship & Cross-Functional Collaboration
Practice behavioral PM onsite stories for leadership, entrepreneurship, design collaboration, data-driven delivery, and risk mitigation in travel or marketplace products. The guide uses STAR examples for 0-to-1 validation, UX partnership, engineering constraints, ranking features, price-feed risk, metrics, and lessons learned.
Interview questions · Goldman Sachs
Leading a Distributed Cross-Divisional Team
Practice leading a distributed cross-divisional team in a regulated industry. The solution covers team charters, RACI/DACI, async communication, time-zone fairness, cultural norms, compliance-by-design, decision logs, trust-building rituals, first-30-day priorities, and team-health metrics.
Interview questions · Meta
Learn complex topic fast under deadline
This question evaluates a candidate's ability to rapidly learn and apply a new analytical framework, measuring competencies in fast onboarding, prioritization, producing minimum viable artifacts, validation under time pressure, and trade-off decision-making.
Interview questions · Falconx
Longest Single-Venue Execution Window Within Price-Range and Slippage Limits
Coding problem that filters unordered trade execution logs to one venue, orders them by timestamp with a stable tie rule, and returns the length of the longest contiguous run whose fill-price range and total slippage cost both stay within given limits. Tests careful preprocessing and efficient window search.
Interview questions · Lucid Motors
Lucid Fit & Career Motivation
Practice Lucid Motors Product Manager fit interviews with resume storytelling, company knowledge, motivation, next-role criteria, and UX experience. The solution helps connect product achievements to premium electric vehicle software, ownership journeys, and customer experience.
Interview questions · Amazon
Maintain real-time top-K products from events
This question evaluates streaming data aggregation, weighted heavy‑hitter ranking, and the design of efficient data structures and algorithms for real-time top‑K tracking in the Coding & Algorithms domain.
Interview questions · Meta
Manage promotions and project portfolio tradeoffs
This question evaluates leadership and people-management competencies—specifically promotion philosophy, portfolio prioritization, cross-functional communication, and equity-focused operational design—for a Data Scientist manager overseeing distributed teams.
Interview questions · Capital One
Map stakeholders and influence routes
This question evaluates stakeholder mapping, influence routing, RACI design, and communication strategy competencies for coordinating multiple internal recruiters, hiring managers, and interview stakeholders in a hiring process.
Interview questions · Meta
Master Behavioral Interview Questions for Data/ML Roles
Master Behavioral Interview Questions for Data/ML Roles evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Interview questions · Goldman Sachs
Maximize Element Frequency with Limited Increments
Find the largest attainable element frequency after a limited number of increment operations using an efficient ordered-window approach.
Interview questions · Capital One
Maximize grid-path expression and count sawtooth subarrays
This multi-part question evaluates dynamic programming and state management for constrained grid traversal with left-to-right expression evaluation, alongside parity-based array analysis and combinatorial counting of contiguous subarrays.
Interview questions · Meta
Measure a friend-recommendation launch
This question evaluates experiment design, metric selection, causal inference and business-metric translation for social features, including defining primary and guardrail metrics, choosing experimental units to mitigate network interference, and estimating revenue impact from observed lifts.
Interview questions · Roku
Measure speaker impact without A/B testing
This question evaluates causal inference, observational study design, metric specification, instrumental variable reasoning, handling of interference and seasonality, and basic power/MDE calculations in a data science analytics context.
Interview questions · Oracle
Merge Accounts by Shared Identifiers
Merge account records that share identifiers and return the consolidated accounts, following the cited accounts-merge problem.
Interview questions · ByteDance
Merge Overlapping Time Windows
Merge unsorted half-open time windows into sorted, non-overlapping intervals while leaving merely adjacent windows separate. Handle duplicate and nested ranges, large timestamps, large input, and empty collections under exact boundary semantics.
Interview questions · Yahoo
Merge words by head-tail chaining
This question evaluates graph-theoretic reasoning and string-manipulation skills, focusing on the ability to reason about ordering constraints, edge cases like self-loops and multiple identical relationships, and traversal over relationships between items.
Interview questions · Atlassian
Minimize max L1 radius with k centers in 1D
This question evaluates algorithmic problem-solving skills and understanding of clustering and optimization concepts, specifically the 1D k-center (minimax L1) problem, greedy feasibility tests, binary-search-on-answer techniques, numerical stability with large coordinates, and time/space complexity analysis relevant for a Data Scientist role.
Interview questions · Optiver
Minimize moves to transform floor layouts
This question evaluates algorithm design and combinatorial optimization skills, focusing on reasoning about minimal moves, greedy heuristics, and proving optimality within the Coding & Algorithms domain for data-science technical roles.
Interview questions · Amazon
Mitigate Data Mistakes and Improve Team Efficiency
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Mitigate Data Mistakes and Improve Team Efficiency states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Interview questions · Capital One
Mitigate risk if no team matches
This question evaluates contingency planning, stakeholder management, negotiation skills, and professional communication by probing how a candidate responds when team-matching stalls and how they preserve leverage and recruiter engagement.
Interview questions · Meta
Model comment count distribution and validate assumptions
This question evaluates proficiency in statistical modeling of discrete count data—specifically overdispersion, zero inflation, heavy tails, model selection, and inference with uncertainty quantification—within the Statistics & Math domain, and requires both conceptual understanding and practical application.
Interview questions · Capital One
Model network-service unit economics and breakeven
This question evaluates a data scientist's ability to model unit economics, calculate per-customer contribution and breakeven, and conduct sensitivity and probabilistic churn analysis.
Interview questions · TikTok
Motivation & Cross-Functional Collaboration
Practice TikTok PM phone-screen answers for motivation, current-role impact, and cross-functional collaboration. The guide gives concise structures, TikTok-specific product angles, STAR examples, metric framing, trade-off communication, stakeholder alignment, and common mistakes to avoid.