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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 · Amazon
Ensure Data Quality and Deliver Impact Amid Challenges
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Ensure Data Quality and Deliver Impact Amid Challenges states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Interview questions · Meta
Ensure Effective Teamwork Amid Conflicting Stakeholder Opinions
This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Ensure Effective Teamwork Amid Conflicting Stakeholder Opinions states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
Interview questions · Upstart
Ensure Fairness Beyond Gender Parity in Lending Practices
Ensure Fairness Beyond Gender Parity in Lending Practices 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 · Wells Fargo
Ensure model ethics and governance
Ensure model ethics and governance 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 · ByteDance
Enumerate All Simple Directed Paths
Enumerate all simple directed paths between two vertices in a graph that may contain cycles, with deterministic output ordering.
Interview questions · Meta
Estimate delayed CVR nonparametrically with censored data
This question evaluates competence in handling right-censored time-to-event data, nonparametric estimation and inference for delayed conversions, construction of confidence intervals and distribution-free bounds, diagnostic checks for nonstationarity, and reasoning about identifiability under aggregated data.
Interview questions · Optiver
Estimate expected comparisons in a BST
Estimate expected comparisons in a BST evaluates algorithm design, data structures, correctness, complexity, edge cases, and implementation details 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 · Amazon
Estimate shuttle impact with robust causal design
This question evaluates a candidate's competency in causal inference and experimental analytics, covering staggered-adoption difference-in-differences design, estimand and outcome definition, parallel-trends diagnostics, selection and time-varying confounding considerations, clustering and weighting choices, handling varied adoption timing and site attrition, robustness checks, and communication of coefficient interpretation and uncertainty. It is commonly asked in the Analytics & Experimentation domain because it tests both conceptual understanding of identification assumptions and practical application of statistical design choices for real-world observational causal analysis.
Interview questions · Amazon
Evaluate actions in Amazon simulation
Evaluate actions in Amazon simulation 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 · Meta
Evaluate brand ads effectiveness on social media causally
This question evaluates competency in causal inference and experimental design for marketing measurement, including defining primary brand outcomes, designing randomized and geo/matched-market lift tests, power and MDE calculations, confounding adjustment for spend and saturation, and pre-specified heterogeneity and interference diagnostics.
Interview questions · Amazon
Evaluate Cost, Time, Security, Flexibility for Training Options
Evaluates buy-versus-build decision-making for an employee training platform. Strong answers compare standard vendor, premium vendor, and in-house options across cost, implementation time, security, compliance, integrations, analytics, flexibility, and long-term total cost of ownership.
Interview questions · Jane Street
Evaluate Expressions with Strictly Positive Integer Intermediate Results
Evaluate arithmetic expressions with a supplied decomposition helper, rejecting nonpositive or fractional intermediate results and preserving exact integer division.
Interview questions · Coinbase
Evaluate Integrity in Workplace Culture Through HR Screening
Coinbase HR screening behavioral prompt on workplace integrity, balancing speed with procedures, data privacy and compliance, exception handling, and process improvement.
Interview questions · Instacart
Evaluate Miami Ultrafast impact on orders
This question evaluates competency in causal inference and panel-data experimentation, including control selection, pre-trend validation, difference-in-differences and event-study estimation, mixed-effects modeling, interference and seasonality handling, staggered-adoption inference, and reporting of treatment effects.
Interview questions · Capital One
Evaluate Qualitative Factors for Ride-Sharing Partnership
Evaluates qualitative due diligence for a retail-bank ride-sharing partnership opportunity. Strong answers assess brand fit, customer overlap, implementation complexity, legal and privacy risk, expected lift, and pilot readiness.
Interview questions · Capital One
Evaluate Renewable Investment Factors for Government Electricity Supply
Evaluates renewable energy investment decision-making for a utility selling mainly to government buyers. Strong answers assess project economics, technology maturity, reliability, regulation, procurement requirements, contract risk, incentives, and portfolio fit before making an executive recommendation.
Interview questions · TikTok
Evaluate Responses to Teammate's Missed Deadlines
TikTok data scientist behavioral judgment prompt on choosing best and worst responses when a teammate misses deadlines, covering constructive feedback, collaboration, accountability, escalation, and delivery impact.
Interview questions · Capital One
Evaluate ROI and payback for renewables
This question evaluates competency in financial modeling and quantitative analysis for utility-scale renewable projects, testing skills in ROI and payback calculation, unit economics, capacity constraint analysis, sensitivity analysis, and scenario comparison.
Interview questions · Okta
Evaluate Role-Based Access with Deny Precedence
Evaluate access for a user and requested property in a user-to-role-to-permission model, applying deny-overrides-allow precedence and defaulting to deny when neither permission exists.
Interview questions · Amazon
Evaluate Soft Skills Through Behavioral Interview Questions
Evaluates behavioral soft skills through data-science leadership prompts about helping teammates, diving deep, deadlines, independent decisions, and growth. Strong answers use STAR with concrete actions and outcomes.
Interview questions · Reddit
Exclude Cat- or Dog-Related Comments and All Their Replies by Reader Mode
Given discussion comments that form reply trees, each flagged as being about cats, dogs, both or neither, return every comment a cat person or a dog person should not see, where hiding a comment also hides all of its replies. Tests reasoning over tree structure, edge cases such as missing parents, and complexity analysis.
Interview questions · Atlassian
Expand Internationally: Data and Strategy for Market Entry
Expand Internationally: Data and Strategy for Market Entry 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 · TikTok
Explain a challenging project end-to-end
This question evaluates project ownership, cross-functional leadership, technical decision-making, and metrics-driven execution within a software engineering Behavioral & Leadership interview, focusing on competencies such as stakeholder coordination, data-informed trade-offs, and operational reliability.
Interview questions · DoorDash
Explain a domain project in depth
This question evaluates leadership, technical ownership, system design, and execution competencies by asking for a STAR-based deep dive into a complex project covering problem framing, architecture, data models, interfaces, testing, rollout, incident handling, and measurable outcomes.