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Optimize profitability for coding contract decisions

Last updated: Mar 29, 2026

Quick Overview

This question evaluates competency in quantitative cost modeling, scheduling, and probabilistic sensitivity analysis within the statistics & math domain, focusing on profit optimization and resource-allocation decisions relevant to a data scientist role.

  • Medium
  • Capital One
  • Statistics & Math
  • Data Scientist

Optimize profitability for coding contract decisions

Company: Capital One

Role: Data Scientist

Category: Statistics & Math

Difficulty: Medium

Interview Round: Technical Screen

A client offers two mutually exclusive fixed-price projects starting 2025-10-01 with a hard deadline of 2025-10-31. Your current team has 3 engineers. Costs and productivity: • Base pay cost: $70/hour/engineer; overhead 25% on labor cost. • Regular hours: up to 40 hrs/week/engineer at 25 lines/hour. • Overtime: up to 20 hrs/week/engineer at 1.5x pay; productivity on overtime is 20 lines/hour. • Optional contractor: $110/hour, 22 lines/hour, 10 hours of onboarding at 50% productivity; no overtime; 10% agency fee on contractor labor cost. Quality: 8% of produced lines require rework (same productivity, unpaid by client), discovered within the month. Client options: • Project A: 1,000 lines; pays $45/line; on-time bonus $5,000; late penalty $3,000 per week. • Project B: 2,000 lines; pays $40/line; on-time bonus $12,000; same penalty. Assume workdays are evenly spread across the month and rework must also be completed by 2025-10-31 to qualify for the bonus. a) Under current staff only (no contractor), compute completion time and total profit for A and B with and without overtime (state assumptions on allocating overtime). b) If you can add one contractor starting 2025-10-07, recompute completion time and profit for A and B (include onboarding and agency fee). c) Which option maximizes expected profit while meeting the deadline with ≥95% buffer against ±10% productivity variance? d) Derive the break-even pay-per-line for Project B at which B becomes preferable to A under the best staffing plan. e) Sensitivity: how does profit change if rework rate ranges from 0% to 15%? Show formulas and final numeric recommendations.

Quick Answer: This question evaluates competency in quantitative cost modeling, scheduling, and probabilistic sensitivity analysis within the statistics & math domain, focusing on profit optimization and resource-allocation decisions relevant to a data scientist role.

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Capital One
Oct 13, 2025, 9:49 PM
Data Scientist
Technical Screen
Statistics & Math
1
0

A client offers two mutually exclusive fixed-price projects starting 2025-10-01 with a hard deadline of 2025-10-31. Your current team has 3 engineers. Costs and productivity: • Base pay cost: 70/hour/engineer;overhead2570/hour/engineer; overhead 25% on labor cost. • Regular hours: up to 40 hrs/week/engineer at 25 lines/hour. • Overtime: up to 20 hrs/week/engineer at 1.5x pay; productivity on overtime is 20 lines/hour. • Optional contractor: 70/hour/engineer;overhead25110/hour, 22 lines/hour, 10 hours of onboarding at 50% productivity; no overtime; 10% agency fee on contractor labor cost. Quality: 8% of produced lines require rework (same productivity, unpaid by client), discovered within the month. Client options: • Project A: 1,000 lines; pays 45/line;on−timebonus45/line; on-time bonus 45/line;on−timebonus5,000; late penalty 3,000perweek.•ProjectB:2,000lines;pays3,000 per week. • Project B: 2,000 lines; pays 3,000perweek.•ProjectB:2,000lines;pays40/line; on-time bonus $12,000; same penalty. Assume workdays are evenly spread across the month and rework must also be completed by 2025-10-31 to qualify for the bonus. a) Under current staff only (no contractor), compute completion time and total profit for A and B with and without overtime (state assumptions on allocating overtime). b) If you can add one contractor starting 2025-10-07, recompute completion time and profit for A and B (include onboarding and agency fee). c) Which option maximizes expected profit while meeting the deadline with ≥95% buffer against ±10% productivity variance? d) Derive the break-even pay-per-line for Project B at which B becomes preferable to A under the best staffing plan. e) Sensitivity: how does profit change if rework rate ranges from 0% to 15%? Show formulas and final numeric recommendations.

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