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Simulate Radioactive Decay to Validate Analytical Solution

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to implement Monte Carlo simulations and validate analytical probability results, testing skills in stochastic processes, numerical estimation, and programming within the Coding & Algorithms domain for data scientist roles.

  • Medium
  • Upstart
  • Coding & Algorithms
  • Data Scientist

Simulate Radioactive Decay to Validate Analytical Solution

Company: Upstart

Role: Data Scientist

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Technical Screen

##### Scenario Same radioactive-decay problem, but now validate the analytical answer via simulation during the interview. ##### Question Share screen and write runnable code (any language) that Monte-Carlo simulates the decay of 100 particles, repeats many trials, and estimates the survival probability computed above. ##### Hints Generate exponential or Bernoulli survival, loop many trials, collect frequencies, compare to theoretical value.

Quick Answer: This question evaluates a candidate's ability to implement Monte Carlo simulations and validate analytical probability results, testing skills in stochastic processes, numerical estimation, and programming within the Coding & Algorithms domain for data scientist roles.

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Upstart
Aug 4, 2025, 10:55 AM
Data Scientist
Technical Screen
Coding & Algorithms
7
0
Scenario

Same radioactive-decay problem, but now validate the analytical answer via simulation during the interview.

Question

Share screen and write runnable code (any language) that Monte-Carlo simulates the decay of 100 particles, repeats many trials, and estimates the survival probability computed above.

Hints

Generate exponential or Bernoulli survival, loop many trials, collect frequencies, compare to theoretical value.

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