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Capital One·Data Scientist·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Capital One data scientist case interview, heavy on business math and scenario analysis. The whole thing was basically a theme park profitability problem with four parts, each building on the last. Felt more like a finance interview than a data science one, which threw me a bit.

Questions Asked (4)

Q1

A theme park operates on 2,000 acres with 1,000,000 annual entries across three ticket types (single-day at $80, five-day at $300, annual pass at $1,000). Given variable cost of $22 per entry, fixed costs of $20M, and a land-owner fee of 5% of revenue, compute annual revenue, total variable cost, the land-owner fee, and profit.

Pricing & MonetizationProduct Analytics & Metrics
Author's notes

This part was straightforward once I figured out the entry count for annual pass holders.

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AI HintsAI Generated

Suggested Approach

First, clarify that the 1,000,000 annual entries are total visits and that ticket type mix is not provided, so you must state assumptions (e.g., equal mix or a reasonable distribution) before calculating. Then compute revenue by ticket type, total variable cost, land-owner fee, and profit, clearly showing each formula and the impact of assumptions.

Pro tip: Explicitly call out that without the ticket mix, the answer is indeterminate, and present a range or scenario analysis (e.g., best/worst case) to demonstrate analytical rigor and business acumen.

1. Clarify inputs and assumptions

Confirm that 1,000,000 is total annual entries and that ticket mix is unknown. State an assumption for the mix (e.g., equal split or typical park distribution) and note that results depend on it.

2. Compute revenue by ticket type

Multiply entries per ticket type by its price to get revenue per type, then sum for total revenue. If assuming equal mix, each type has 333,333.33 entries; show the math.

3. Calculate total variable cost and land-owner fee

Total variable cost = 1,000,000 entries × $22 = $22,000,000. Land-owner fee = 5% × total revenue (computed in step 2).

4. Compute profit

Profit = Total Revenue − Total Variable Cost − Fixed Costs − Land-owner Fee. Plug in the numbers and present the final profit.

5. Discuss sensitivity and implications

Explain how the ticket mix affects revenue and profit, and provide a range (e.g., all single-day vs. all annual pass) to show the impact of assumptions.

Key Points to Mention

  • The problem is under-specified because ticket mix is not given; state assumptions clearly.
  • Revenue calculation: sum over ticket types of (entries × price).
  • Variable cost is $22 per entry, so total variable cost = 1,000,000 × $22 = $22M.
  • Land-owner fee is 5% of total revenue, not profit.
  • Profit formula: Revenue − Variable Cost − Fixed Cost − Land-owner Fee.
  • Sensitivity analysis: show how profit varies with different ticket mixes (e.g., all single-day vs. all annual pass).

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

Q2

Under Expansion Option A, the park acquires an adjacent 1,000 acres, scaling entries and ticket sales proportionally to 3,000 acres total, but the land-owner fee rises from 5% to 10%. Fixed costs stay at $20M and variable cost per entry is unchanged. What is the profit under this option?

Pricing & MonetizationProduct Strategy
Author's notes

Scale everything by 1.5x since acreage goes from 2,000 to 3,000.

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AI HintsAI Generated

Suggested Approach

First, identify the baseline scenario (likely 2,000 acres) and its profit, then calculate the new revenue and costs under Expansion Option A. Since entries scale proportionally with acreage, revenue increases by 50% (from 2,000 to 3,000 acres), but the land-owner fee doubles from 5% to 10%, so you must recalculate profit with the new fee structure.

Pro tip: Always state your assumptions explicitly, especially the baseline acreage and that variable cost per entry remains constant. This shows structured thinking and prevents miscommunication.

1. Identify baseline metrics

Determine the original park size (likely 2,000 acres) and the baseline profit, revenue, and costs. If not given, assume a baseline or ask for clarification.

2. Calculate new revenue

Since entries scale proportionally, new entries = baseline entries × (3,000 / baseline acres). New revenue = new entries × ticket price.

3. Calculate new costs

Fixed costs remain $20M. Variable costs = new entries × variable cost per entry. Land-owner fee = 10% of new revenue (instead of 5%).

4. Compute new profit

Profit = Revenue - Fixed Costs - Variable Costs - Land-owner Fee. Compare to baseline profit to assess impact.

Key Points to Mention

  • Proportional scaling of entries with acreage
  • Land-owner fee increase from 5% to 10%
  • Fixed costs remain constant at $20M
  • Variable cost per entry unchanged
  • Impact of fee change on profit margin
  • Comparison to baseline profit

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

Q3

Under Expansion Option B, you can bid for the same 1,000 acres. If you win (80% probability), the land-owner fee stays at 5% at 3,000 acres. If you lose (20%), you remain at 2,000 acres with the 5% fee. Compute the expected profit of bidding and recommend the best option among no expansion, Option A, and Option B.

Pricing & MonetizationProduct StrategyA/B Testing & Experimentation
Author's notes

Win scenario profit: revenue $90M, variable $33M, land fee 5% of $90M = $4.5M, fixed $20M, profit = $32.5M.

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AI HintsAI Generated

Suggested Approach

First, compute the expected profit of Option B by weighting the profit in the win scenario (80% chance of 3,000 acres at 5% fee) and the lose scenario (20% chance of staying at 2,000 acres at 5% fee). Then compare this expected profit to the profits of no expansion and Option A, and recommend the option with the highest expected profit, while noting any risk considerations.

Pro tip: Don't just compare expected values; briefly discuss risk tolerance and the downside scenario, as Capital One values data-driven decisions that account for uncertainty and business context.

1. Clarify assumptions and given data

Restate the key numbers: current acres (2,000), fee (5%), Option B bid acres (1,000), win probability (80%), and that the fee remains 5% at 3,000 acres if won. Assume profit per acre is constant and known from previous calculations.

2. Compute profit for each scenario under Option B

Calculate profit if win: 3,000 acres at 5% fee. Calculate profit if lose: 2,000 acres at 5% fee (same as no expansion). Use the profit formula from earlier parts.

3. Calculate expected profit of Option B

Expected profit = 0.8 * (profit if win) + 0.2 * (profit if lose). Show the arithmetic clearly.

4. Compare with no expansion and Option A

Recall or compute the profits for no expansion (2,000 acres at 5%) and Option A (likely a different expansion scenario). Compare the expected profits side by side.

5. Recommend best option and discuss risk

Recommend the option with the highest expected profit, but also mention the risk profile (e.g., Option B has a 20% chance of no gain) and whether it aligns with business strategy.

Key Points to Mention

  • Expected value calculation: weighting outcomes by probabilities.
  • Profit formula: profit = acres * fee * profit per acre (or similar).
  • Comparison of expected profits across options.
  • Risk consideration: Option B has uncertainty, while no expansion is certain.
  • Business context: Capital One may prefer options with higher expected value but also consider risk-adjusted returns.
  • Clear recommendation with justification.

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

Q4

For sensitivity analysis: (i) At 3,000 acres, what land-owner fee rate makes Option A's profit equal to the current no-expansion profit? (ii) Holding the fee at 10%, what variable cost per entry at 3,000 acres would make Option A match the current profit? Show your formulas.

Pricing & MonetizationProduct Analytics & Metrics
Author's notes

Part (i): set profit under 3,000 acres equal to $15M.

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AI HintsAI Generated

Suggested Approach

First, clearly define the profit formulas for the current no-expansion scenario and Option A at 3,000 acres, then set them equal to solve for the unknown fee rate or variable cost. Use algebra to isolate the target variable, and verify the result by plugging it back into the profit equation.

Pro tip: Always state your assumptions (e.g., fixed costs, revenue per entry) and show the break-even logic step-by-step; this demonstrates business acumen and reduces the risk of calculation errors.

1. Define profit equations

Write the profit formula for the current no-expansion scenario and for Option A at 3,000 acres, identifying all revenue and cost components.

2. Set up equality for part (i)

Set Option A's profit equal to the current profit and solve for the land-owner fee rate, expressing it as a percentage of revenue or per-acre fee.

3. Set up equality for part (ii)

With fee fixed at 10%, set Option A's profit equal to the current profit and solve for the variable cost per entry.

4. Solve algebraically and verify

Perform the algebraic manipulation to isolate the unknown, then plug the value back into the original equation to confirm equality.

Key Points to Mention

  • Profit formula: Profit = Revenue - Variable Costs - Fixed Costs - Land-owner Fees
  • Sensitivity analysis isolates one variable while holding others constant
  • Break-even analysis where incremental profit from expansion equals zero
  • Importance of units and consistency (e.g., per acre vs. total)
  • Assumptions about demand, pricing, and cost structure at 3,000 acres
  • Interpretation of results: what fee rate or cost per entry is feasible given business constraints

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