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Shopify Data Scientist Interview Questions

Shopify Data Scientist Interview Questions

Shopify's data scientist process runs a recruiter screen, a take-home or live SQL/stats assessment, a case study on a merchant or growth metric, and onsite rounds on experimentation and cross-functional collaboration.

What to Expect

RoundFormatFocusDifficulty
Recruiter screen20-30 minBackground, motivation, role scopeLow
SQL/stats assessment45-60 minSQL queries, probability/statistics fundamentalsMedium-High
Case study60-90 minAnalyze a merchant growth or churn metric and recommend actionHigh
Onsite/cross-functional rounds30-45 min each, 2-3 totalExperimentation design, communicating with product and engineeringHigh

Prep time: 2-3 weeks — practice SQL joins/window functions and A/B testing fundamentals, and be ready to discuss e-commerce-specific metrics like GMV, churn, and merchant retention.

Sample Questions and How to Approach Them

  1. "Merchant churn increased 3% this quarter. How would you investigate?" Segment by merchant size, tenure, and plan tier before hypothesizing causes, and check for seasonality effects common in e-commerce.
  2. "Write a SQL query to find merchants whose GMV dropped more than 20% month over month." Talk through the self-join or window function logic clearly.
  3. "How would you design an experiment to test a new checkout feature's impact on conversion?" Cover the primary metric, guardrail metrics (page load time, error rate), and sample size considerations.
  4. "Tell me about a time your analysis directly influenced a product decision." Emphasize the business action taken as a result, not just the analysis itself.
  5. "How do you decide which merchant segment to prioritize for a retention campaign?" Discuss weighing segment size against churn risk and expected lifetime value.
  6. "How do you communicate a null or inconclusive experiment result to a product team eager to ship?" Show you can hold the line on evidence while still being constructive about next steps.

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