I have interview coming up with Instacart for a senior data scientist position. This will be my first tech round with them includes sql, stats and Case studies.
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And my boss says, these generations are all lazy 😅

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Questions here are usually applied to product and A/B testing scenarios:
A/B test design (hypothesis, metrics, sample size)
Statistical significance (p‑values, confidence intervals)
Type I vs Type II errors
Causal inference basics
Possibly interpret experimental results (take‑home case or live)�
Datainterview.com +1
What to Focus On
Hypothesis framing — clearly define success metrics before analysis.
Interpreting results — significance vs business impact.
Common pitfalls (multiple comparisons, biased splits).
Study Materials
Experimentation chapters in Ace the Data Science Interview
Stats cheat sheets (StrataScratch / Interview Query)