Interview Questions

Showing 5281–5310 of 9403 results

• MetaMedium·Product Manager
  Program Execution Deep Dive

  Practice a Product Manager program execution deep dive covering requirements capture, prioritization, stakeholder conflict, risk mitigation, launch planning, staged rollout, metrics, guardrails, and post-launch learning.

  Product / Decision MakingOnsite
• MetaMedium·Data Scientist
  Promote Inclusion and Overcome Barriers in Social-Commerce Team

  Promote Inclusion and Overcome Barriers in Social-Commerce Team 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.

  Behavioral & LeadershipOnsite
• MetaHard·Data Scientist
  Prove friends outperform unconnected; design metrics, observational analysis, and rollout experiment

  A Meta data-scientist technical-screen question on Analytics & Experimentation: using only info_stream_views and post_reactions, prove whether Friend-authored content is 'more social' than Unconnected content. It tests denominator-complete metric design with relationship attribution, observational causal validation (fixed effects + propensity/AIPW), and a network-aware rollout experiment with power, CUPED, interference mitigations, and guardrails — plus quantifying the long-term and discovery value of Unconnected content beyond near-term engagement.

  Analytics & ExperimentationTechnical Screen
• MetaHard·Data Scientist
  Prove high-quality pixels improve ad performance

  This question tests your ability to design a rigorous causal experiment to validate a product hypothesis while accounting for selection bias, confounding variables, and operational constraints.

  Analytics & ExperimentationTechnical ScreenCausal InferenceExperiment DesignMetric Strategy
• MetaHard·Data Scientist
  Prove source growth is cannibalization, not incremental

  This question evaluates causal inference and experimental-design competencies in analytics, testing skills in identification strategy, treatment and control definition, specification of difference‑in‑differences or randomized geo experiments, metric construction, power calculations, and robustness checks for attribution and cannibalization analysis. It is commonly asked to determine whether observed growth is incremental or substitution-driven, falls under the Analytics & Experimentation domain in Data Science, and emphasizes practical application accompanied by conceptual understanding of identification assumptions, statistical power, and measurement.

  Analytics & ExperimentationOnsite
• MetaMedium·Data Scientist
  Rank Ads by Conversion Rate for Top 10 Performers

  This question evaluates data manipulation and analytics skills for computing time-windowed ad performance metrics, including aggregations of impressions and revenue, join logic between impression and conversion records, conversion-rate calculation, and ranking.

  Data Manipulation (SQL/Python)Onsite
• MetaMedium·Machine Learning Engineer
  Read Current and Historical Field Values with Expiration

  Design an in-memory key-field-value store that supports historical queries, time-to-live (TTL) expiration, and field deletions without corrupting past states.

  Coding & AlgorithmsOnline AssessmentBinary SearchDesignHash Table
• MetaMedium·Data Engineer
  Recommend two-hop follows in Python

  This question evaluates fluency with graph traversal, set operations, deduplication, and frequency-based ranking in Python, targeting manipulation of directed "follows" relationships represented as dictionaries and is categorized under Data Manipulation (SQL/Python).

  Data Manipulation (SQL/Python)Onsite
• MetaMedium·Data Scientist
  Redesign an executive dashboard for C-suite

  This question evaluates skills in dashboard design, data visualization, metric selection, and executive-level analytical communication for product and growth measurement.

  Analytics & ExperimentationOnsite
• MetaMedium·Data Scientist
  Reduce variance with covariate adjustment

  This question evaluates a data scientist's competency in experimental design, variance reduction techniques, and regression-based covariate adjustment (CUPED/ANCOVA) within randomized A/B tests, including understanding of statistical power and diagnostic checks.

  Analytics & ExperimentationOnsite
• MetaMedium·Data Scientist
  Reflect on Conflict Resolution and Key Learnings

  This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Reflect on Conflict Resolution and Key Learnings states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Behavioral & LeadershipOnsite
• MetaHard·Software Engineer
  Remove minimum invalid mixed brackets

  This Coding & Algorithms problem evaluates string-processing and bracket-matching skills, specifically understanding of stack-based parsing, handling multiple bracket types, and minimizing removals while preserving non-bracket characters.

  Coding & AlgorithmsTechnical Screen
• MetaMedium·Software Engineer
  Remove minimum parentheses to balance string

  This question evaluates string-processing and algorithm-design skills within the Coding & Algorithms domain, focusing on balancing parentheses, correctness proofs for minimal edits, and time/space complexity analysis.

  Coding & AlgorithmsTechnical Screen
• MetaMedium·Software Engineer
  Remove runs of length at least k

  This question evaluates string manipulation, run-length detection, and algorithmic efficiency, focusing on tracking and removing maximal contiguous character groups. It is commonly asked in the Coding & Algorithms domain to assess practical application–level skills in designing linear-time, linear-space implementations that handle dynamic sequence collapses using appropriate data structures.

  Coding & AlgorithmsTechnical Screen
• MetaHard·Data Scientist
  Replace legacy ads model safely

  This question evaluates competence in machine learning systems engineering, including offline validation, counterfactual/off‑policy evaluation, online experimentation design, and production monitoring for ad-ranking models.

  Machine LearningOnsite
• MetaHard·Software Engineer
  Resolve Ambiguous Requirements Before Building

  Tests your ability to drive clarity and make responsible engineering progress when assigned a critical project with underspecified or conflicting requirements.

  Behavioral & LeadershipOnsiteBehavioralRequirements AmbiguityStakeholder Alignment
• MetaMedium·Data Scientist
  Resolve Conflicts and Convince Skeptical Stakeholders Effectively

  This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Resolve Conflicts and Convince Skeptical Stakeholders Effectively states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  Behavioral & LeadershipOnsite
• MetaMedium·Data Scientist
  Resolve Team Conflicts and Exceed Job Expectations Successfully

  Evaluates behavioral interview readiness for initiative beyond formal responsibilities and team conflict resolution. Strong answers use STAR, explain why the candidate stepped in, show stakeholder management, quantify impact, and resolve conflict without blame.

  Behavioral & LeadershipTechnical Screen
• MetaMedium·Data Scientist
  Resolve Ties for Top-10 Users in SQL Query

  This question evaluates proficiency in SQL ranking and tie-resolution techniques for generating deterministic top-N leaderboards, focusing on handling identical scores while producing an exact set of rows.

  Data Manipulation (SQL/Python)Onsite
• MetaMedium·Software Engineer
  Resolve a cd Path Against the Current Directory

  Implement simplified Unix-style cd path resolution for absolute and relative inputs containing repeated separators, dot components, and parent-directory steps. The challenge focuses on component semantics, root boundaries, empty arguments, exact normalization, and linear processing of long paths without filesystem lookups.

  Coding & AlgorithmsOnsite
• MetaMedium·Data Scientist
  Resolve cross-team conflict and align incentives

  This question evaluates a Data Scientist's ability to resolve cross-team conflicts through stakeholder mapping, incentive alignment, quantified negotiation planning, meeting facilitation, escalation management, and success measurement.

  Behavioral & LeadershipOnsite
• MetaHard·Data Scientist
  Resolve exclusion, learn fast, and manage conflict

  This question evaluates interpersonal leadership, cross-team collaboration, conflict resolution, rapid domain learning, stakeholder mapping, and the ability to quantify analytic trade-offs and impact within a data science context.

  Behavioral & LeadershipOnsite
• MetaHard·Data Scientist
  Resolve teammate feeling unwelcome with measurable steps

  This question evaluates leadership competencies in managing psychological safety, conflict resolution, confidentiality, remote-team dynamics, evidence gathering, documentation, escalation, and outcome measurement.

  Behavioral & LeadershipOnsite
• MetaHard·Software Engineer
  Respond to Critical Feedback and Show the Change

  This question assesses a candidate's ability to handle constructive criticism professionally, their capacity for self-reflection, and their demonstrated commitment to measurable professional growth.

  Behavioral & LeadershipOnsiteBehavioralLeadershipGrowth Mindset
• MetaMedium·Data Scientist
  Retrieve Ad Metrics and Rates for Last 7 Days

  This question evaluates proficiency in SQL-based data manipulation including joins, conditional aggregation, time-based filtering, and computation of advertising metrics such as impressions, clicks, CTR, and conversion rate.

  Data Manipulation (SQL/Python)Onsite
• MetaMedium·Data Scientist
  Retrieve Top Five Ads by Conversions in 30 Days

  This question evaluates a candidate's competency in SQL data manipulation, specifically aggregating event data and applying time-window filters to produce ranked metrics.

  Data Manipulation (SQL/Python)Onsite
• MetaMedium·Software Engineer
  Return a Shortest Path Through a Binary Grid

  Implement breadth-first search on an 8-directional binary grid to find and reconstruct a deterministic shortest path from the top-left to the bottom-right cell.

  Coding & AlgorithmsOnsiteBFSGraphMatrix
• MetaMedium·Software Engineer
  Return all root-to-leaf path sums

  This question evaluates competency in binary tree traversal and path-state accumulation, focusing on the ability to compute sums along root-to-leaf paths while handling edge cases like empty trees and negative values.

  Coding & AlgorithmsOnsite
• MetaMedium·Data Engineer
  Return count and renewal percentage of unreturned good copies

  This question evaluates proficiency in SQL data manipulation, including conditional filtering, NULL handling, aggregation, and computing conditional percentages across related tables.

  Data Manipulation (SQL/Python)Technical Screen
• MetaMedium·Software Engineer
  Return right and left side views of a tree

  This problem tests your ability to perform level-order traversal on a binary tree and manipulate the results to extract the boundary nodes.

  Coding & AlgorithmsOnsiteBinary TreeBFSDFS