Maximize Score After Pair Deletions
A medium-tier problem at 61% community acceptance, tagged with Array, Greedy. Reported in interviews at DRW and 0 others.
You're given an array and need to maximize a score by deleting pairs of elements according to some rule. DRW has asked this problem, and it sits at medium difficulty with a 60% acceptance rate, which means the trick isn't obvious on first read. Most candidates either miss the greedy pattern or get tangled in the pair-matching logic. This is exactly the kind of problem where you nail the approach in 90 seconds or burn 15 minutes going in circles. If this hits your live assessment and you blank on the greedy insight, StealthCoder surfaces a working solution in seconds, invisible to the proctor.
Companies that ask "Maximize Score After Pair Deletions"
Maximize Score After Pair Deletions is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Built by a senior engineer who knows the OA is theater. This is the script.
Get StealthCoderThe core challenge is recognizing that you can't just greedily pair any elements. You need to identify which pairs actually maximize the score, and the order of deletion matters because removing a pair changes what's available for future pairings. The trap is treating it like a simple two-pointer problem when it often requires thinking about the optimal deletion sequence or understanding which greedy criterion (largest elements, closest pairs, highest immediate gain) actually wins. Many candidates code a brute-force recursion that times out, or they commit to a greedy heuristic that fails on edge cases. The Array and Greedy topics confirm you're optimizing over a sequence, not just counting or searching. StealthCoder is your hedge for the live OA if the greedy strategy doesn't click in the first five minutes.
Pattern tags
You know the problem.
Make sure you actually pass it.
Maximize Score After Pair Deletions recycles across companies for a reason. It's medium-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Built by a senior engineer who knows the OA is theater. This is the script. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Maximize Score After Pair Deletions interview FAQ
What makes this problem tricky if it's only medium difficulty?+
The acceptance rate is around 60%, which suggests the greedy insight isn't immediate. Most people either miss that order of deletion matters or pick the wrong greedy criterion. The problem reads simple on the surface, but the pair-matching logic catches candidates off-guard in a timed setting.
Is this still asked frequently at top-tier companies?+
It's been reported by DRW, a trading and quantitative firm that values algorithmic speed. Pair-deletion and greedy optimization problems are common in finance and hedge-fund interviews where candidates need to think about sequencing and optimization under constraints.
What's the common pitfall people hit?+
Committing to a greedy rule without verifying it on all test cases, or coding a recursive solution without memoization and hitting time limits. Many also misunderstand how deletion changes the array state and which pairs become available next.
How does the Greedy topic hint at the solution?+
Greedy means you're making a locally optimal choice at each step and betting it leads to the global optimum. You'll need to figure out which criterion (max element, closest pair, highest gain) makes that bet work. Not all greedy choices are correct; the problem is testing whether you pick the right one.
Should I practice this if I haven't seen pair-deletion before?+
If DRW or similar quant firms are on your target list, yes. Pair-matching and deletion-based optimization appear across finance and trading interviews. Understanding the pattern (test greedy heuristics, verify on edge cases, spot when order matters) is transferable.
Want the actual problem statement? View "Maximize Score After Pair Deletions" on LeetCode →