Data Scientist Interview Questions

Showing 1–30 of 31 results

• Akuna CapitalHard·Data Scientist
  Find minimum swaps to sort array with duplicates

  This question evaluates array manipulation and permutation-based reasoning for minimizing swap operations, including handling of duplicate values and performance considerations, within the Coding & Algorithms domain for a Data Scientist role.

  Coding & AlgorithmsOnline Assessment
• AmazonHard·Data Scientist
  Solve subset-count and kth-factor problems

  This question evaluates algorithm design and analysis skills, including selection under sum constraints with negatives and zeros, streaming and query-preprocessing strategies for repeated budgets, and number-theoretic factor enumeration for large N, all within the Coding & Algorithms domain.

  Coding & AlgorithmsOnline Assessment
• AtlassianMedium·Data Scientist
  Implement sliding-window rate limiter with dual thresholds

  This question evaluates a candidate's skill in implementing efficient online sliding-window rate limiting, covering stream processing, time-based window management, per-key state maintenance, algorithmic complexity analysis, and formal correctness reasoning.

  Coding & AlgorithmsOnline Assessment
• Bank of AmericaMedium·Data Scientist
  Compute maximum beauty of a string

  This question evaluates skills in string manipulation, frequency analysis, and optimization of weighted sums, focusing on assigning distinct values to characters to maximize an aggregate metric.

  Coding & AlgorithmsOnline Assessment
• Bank of AmericaMedium·Data Scientist
  Convert number words to integer

  This question evaluates textual number parsing, tokenization, and numeric mapping skills, testing string manipulation and lexical interpretation within the Coding & Algorithms domain for a Data Scientist role and emphasizing practical application rather than pure theoretical concepts.

  Coding & AlgorithmsOnline Assessment
• Bank of AmericaMedium·Data Scientist
  Explain coding solution and alternatives

  Explain coding solution and alternatives 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.

  Coding & AlgorithmsOnline Assessment
• BByteDanceEasy·Data Scientist
  Implement several OA simulation problems

  This set of problems evaluates skills in string processing, memory simulation and allocation logic, and online data-structure maintenance for dynamic contiguous segment counting, testing algorithmic design and attention to stateful invariants.

  Coding & AlgorithmsOnline Assessment
• CoinbaseMedium·Data Scientist
  Solve Aptitude Test: Logical, Numerical, Verbal Reasoning

  This question evaluates logical, numerical, and verbal reasoning along with rapid pattern recognition and time-limited decision-making relevant to pre-employment aptitude screens for data science roles.

  Coding & AlgorithmsOnline Assessment
• Goldman SachsEasy·Data Scientist
  Count Palindromic Substrings

  This question tests your ability to identify palindromes within a string using expansion around centers or dynamic programming.

  Coding & AlgorithmsOnline AssessmentStringsTwo PointersDynamic Programming
• GoogleEasy·Data Scientist
  Build next-word predictor with O(1) lookup

  This problem tests your ability to design a memory-efficient data structure for storing n-gram probabilities and performing fast lookups for the most likely next word.

  Coding & AlgorithmsOnline AssessmentHash MapData StructuresNLP
• Hudson River TradingMedium·Data Scientist
  Count Smaller Numbers with Only Zero and One in Base Four

  Count the number of positive integers strictly less than n whose base-4 representation consists only of the digits 0 and 1.

  Coding & AlgorithmsOnline AssessmentMathBit ManipulationDigit DP
• OpenAIMedium·Data Scientist
  Identify Bugs in Python Script for User Assignment

  This question evaluates a candidate's ability to detect bugs and data-quality risks in a Python script, testing competencies in code review, reproducible randomization, idempotency, logging, duplicate-exposure safeguards, and safe experiment-assignment logic.

  Coding & AlgorithmsOnline Assessment
• OptiverHard·Data Scientist
  Find missing numbers in sequences

  This problem tests pattern recognition and algorithm design for identifying missing terms in a sequence that may follow arithmetic, geometric, polynomial, or linear recurrence rules.

  Coding & AlgorithmsOnline AssessmentAlgorithmsPattern RecognitionNumerical Analysis
• OptiverMedium·Data Scientist
  Match alphanumeric patterns in a stream

  This question evaluates skills in exact and approximate alphanumeric string matching, streaming pattern lookup, noise-tolerant comparison, and performance-oriented data structures and encodings.

  Coding & AlgorithmsOnline Assessment
• OptiverMedium·Data Scientist
  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.

  Coding & AlgorithmsOnline Assessment
• OOthersEasy·Data Scientist
  Answer ancestor-walk queries on a rooted tree

  This question evaluates understanding of tree data structures and ancestor-walk queries, assessing competency in traversing rooted trees, interpreting parent arrays, and designing efficient query-processing methods for large n and q.

  Coding & AlgorithmsOnline Assessment
• Point72Easy·Data Scientist
  Find kth missing integer and redundant operations

  This paired question evaluates array and algorithmic skills — specifically order-statistics and missing-number reasoning for the k-th missing positive, and time-window aggregation with frequency tracking for detecting redundant log events — within the coding & algorithms domain.

  Coding & AlgorithmsOnline Assessment
• Point72Hard·Data Scientist
  Implement composition and mixin utilities

  This problem tests proficiency in functional composition, Python metaclass/decorator patterns, and custom serialization logic, focusing on handling flexible arguments and object introspection.

  Coding & AlgorithmsOnline AssessmentPythonFunctional ProgrammingSerialization
• RobloxEasy·Data Scientist
  Implement four DS coding tasks

  This multi-part question evaluates a data scientist's competencies in statistical inference (sample size and z-test calculations), causal inference and parallel-trends validation (difference-in-differences), Bayesian probability updating, and interpretable supervised learning feature importance, all framed as coding tasks.

  Coding & AlgorithmsOnline Assessment
• RobloxMedium·Data Scientist
  Optimize assembly-line scheduling with changeovers

  This question evaluates combinatorial optimization and scheduling competencies, specifically reasoning about NP-hardness, sequence-dependent setup times, precedence and downtime constraints, and designing exact and heuristic solvers for makespan minimization.

  Coding & AlgorithmsOnline Assessment
• SSchonfeldMedium·Data Scientist
  Compute probability last passenger gets own seat

  This question evaluates a candidate's understanding of probability theory, combinatorics, and reasoning about sequential random processes, with emphasis on symmetry and conditional dependence.

  Coding & AlgorithmsOnline Assessment
• SSchonfeldMedium·Data Scientist
  Find smallest N for 5-and-21 sums

  This question evaluates understanding of integer linear combinations and elementary number theory, framed as a Frobenius coin problem that examines representability using non-negative multiples of 5 and 21.

  Coding & AlgorithmsOnline Assessment
• SquarepointMedium·Data Scientist
  Maximize revenue from inventory sales

  This question evaluates algorithmic problem-solving and optimization competencies focused on dynamic resource allocation, revenue maximization, and designing efficient solutions that scale with large n, m, and quantities.

  Coding & AlgorithmsOnline Assessment
• TikTokMedium·Data Scientist
  Maximize Distinct Purchases Within Budget Constraints

  This question evaluates understanding of selection and optimization under budget constraints, algorithmic efficiency, and the ability to implement correct logic for maximizing the number of distinct items purchased.

  Coding & AlgorithmsOnline Assessment
• TikTokMedium·Data Scientist
  Maximize products bought under budget

  This question evaluates algorithmic problem-solving skills including sorting, prefix-sum accumulation, binary search, greedy selection, careful tie-breaking for lexicographic order, and complexity analysis.

  Coding & AlgorithmsOnline Assessment
• Two SigmaMedium·Data Scientist
  Compute Piecewise Linear Interpolation

  This question evaluates skills in algorithm design and numerical interpolation, including sorting and searching among 2D points, handling boundary cases for extrapolation, and computing linear interpolation accurately and efficiently.

  Coding & AlgorithmsOnline Assessment
• Two SigmaMedium·Data Scientist
  Evaluate Piecewise Linear Function

  This question tests the ability to efficiently search through sorted interval data and apply linear interpolation to compute the value of a continuous piecewise function at a specific input point.

  Coding & AlgorithmsOnline AssessmentBinary SearchInterpolationData Structures
• Two SigmaMedium·Data Scientist
  Evaluate a Piecewise Linear Function

  This question tests the ability to efficiently search through a sorted collection of coordinates and apply linear interpolation to compute values for a continuous piecewise function.

  Coding & AlgorithmsOnline AssessmentBinary SearchInterpolationGeometry
• Two SigmaMedium·Data Scientist
  Evaluate piecewise linear function at x

  This question evaluates competency in numerical interpolation and handling of piecewise linear functions, including locating the correct segment in a sorted sequence of points and managing out-of-range inputs.

  Coding & AlgorithmsOnline Assessment
• Two SigmaEasy·Data Scientist
  Fill Missing Time-Series Values with Linear Interpolation (Duplicate Timestamps Allowed)

  This question evaluates a candidate's ability to perform time-series data cleaning and aggregation of duplicate timestamps, plus numerical linear interpolation and boundary value propagation, within the Coding & Algorithms domain.

  Coding & AlgorithmsOnline Assessment