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Boston·Data Scientist·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Two coding problems for a Data Scientist role at Boston, 20-25 minutes each. Pretty standard stuff but they wanted full docstrings and complexity analysis on top of working code, which tripped me up a bit on time.

Questions Asked (2)

Q1

Write a function that checks whether a given string is a palindrome, comparing characters exactly as they appear with no case normalization or punctuation handling.

Algorithms & Data Structures
Author's notes

Seemed easy and it basically was, but I almost over-engineered it by adding case folding before re-reading the prompt.

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AI HintsAI Generated

Suggested Approach

Start by clarifying that the comparison is exact, with no normalization. Then present a two-pointer approach that compares characters from both ends moving inward, returning false on the first mismatch. Discuss time and space complexity, and mention edge cases like empty strings and single characters.

Pro tip: Mention that you would confirm with the interviewer whether Unicode or multi-byte characters need special handling, since exact comparison can be tricky with different encodings. Also, note that a recursive solution is possible but iterative is more efficient in Python due to recursion limits.

1. Clarify requirements

Confirm that the comparison is exact, with no case normalization or punctuation handling, and discuss how to handle empty strings and single characters.

2. Choose an approach

Select a two-pointer technique for O(n) time and O(1) space, or consider reversing the string for a simpler but less efficient solution.

3. Implement the function

Write clean code with meaningful variable names, handling edge cases and returning a boolean.

4. Test with examples

Walk through test cases like 'racecar' (true), 'hello' (false), 'Aba' (false due to case), and empty string (true).

5. Analyze complexity

State that the two-pointer approach runs in O(n) time and O(1) space, and discuss trade-offs with other methods.

Key Points to Mention

  • Two-pointer technique for efficient in-place comparison
  • Time complexity O(n) and space complexity O(1)
  • Edge cases: empty string, single character, even/odd length
  • Exact character comparison without normalization
  • Alternative approaches: string reversal, recursion, and their trade-offs
  • Potential Unicode or encoding considerations

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q2

Write a function to check whether a string of bracket characters is a valid parentheses sequence, handling all three bracket types and correct nesting order.

Algorithms & Data Structures
Author's notes

Stack problem, pretty classic.

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AI HintsAI Generated

Suggested Approach

Use a stack to track opening brackets and validate closing brackets against the most recent opening. Iterate through the string, pushing opening brackets and popping for closing brackets, ensuring the popped bracket matches the closing type. At the end, the stack must be empty for a valid sequence.

Pro tip: Always discuss edge cases like empty strings, strings with odd length, and strings with only opening or only closing brackets. Also, mention that this approach runs in O(n) time and O(n) space, which is optimal for this problem.

1. Clarify the problem

Confirm that the string contains only bracket characters and that we need to check for correct nesting and matching types. Ask if an empty string is considered valid.

2. Choose the data structure

Explain that a stack is ideal because it follows Last-In-First-Out (LIFO) order, which naturally handles nested brackets.

3. Outline the algorithm

Iterate through each character: if it's an opening bracket, push it onto the stack; if it's a closing bracket, check if the stack is empty or if the top doesn't match, return false. Otherwise, pop the stack.

4. Handle edge cases and final check

After the loop, ensure the stack is empty. Also, consider early termination for odd-length strings or strings with invalid characters.

5. Analyze complexity

State that the time complexity is O(n) because we process each character once, and space complexity is O(n) in the worst case for the stack.

Key Points to Mention

  • Stack data structure and its LIFO property
  • Mapping of opening to closing brackets (e.g., using a dictionary or if-else)
  • Handling of mismatched brackets (e.g., closing bracket without matching opening)
  • Edge cases: empty string, odd length, strings with only one type of bracket
  • Time and space complexity analysis
  • Potential follow-up: handling other characters or ignoring non-bracket characters

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.