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OneMain Financial·Data Scientist·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Had a technical screen for a Data Scientist role at OneMain Financial that leaned heavily into channel analytics and business metrics. Pretty applied, less about coding and more about thinking through funnel math and what numbers actually matter.

Questions Asked (1)

Q1

You're given impressions, click-through rate, and conversion rate for three sales channels (online, phone, email). Calculate expected purchases per channel, rank them by conversion efficiency, and estimate total expected revenue using an average order value. Then explain what additional metrics you'd want to assess channel performance more completely.

Product Analytics & MetricsPricing & MonetizationRoot Cause Analysis
Author's notes

The math part was fine, impressions times CTR times conversion rate, nothing tricky there.

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AI HintsAI Generated

Suggested Approach

Start by clearly stating the formulas: expected purchases = impressions × CTR × conversion rate, and expected revenue = expected purchases × average order value. Then compute and rank channels by conversion efficiency (conversion rate), and discuss additional metrics like cost per acquisition, customer lifetime value, and channel-specific factors to assess performance holistically.

Pro tip: Always clarify assumptions (e.g., average order value is constant across channels) and note that conversion rate alone may not capture profitability; consider incorporating cost data if available.

1. Calculate expected purchases

For each channel, multiply impressions by click-through rate to get clicks, then multiply clicks by conversion rate to get expected purchases.

2. Rank channels by conversion efficiency

Compare the conversion rates (or overall conversion from impression to purchase) across channels and rank them from highest to lowest.

3. Estimate total expected revenue

Multiply the total expected purchases across all channels by the given average order value to estimate total revenue.

4. Identify additional metrics for comprehensive assessment

Suggest metrics such as cost per acquisition, return on ad spend, customer lifetime value, average order value by channel, and time-to-conversion to evaluate channel performance beyond conversion efficiency.

Key Points to Mention

  • Formula for expected purchases: impressions × CTR × conversion rate
  • Ranking by conversion rate (or overall conversion) to assess efficiency
  • Total expected revenue = total expected purchases × average order value
  • Additional metrics: CPA, ROAS, CLV, AOV by channel, time-to-conversion
  • Assumption that average order value is constant across channels
  • Consideration of channel-specific costs and profitability

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