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The Interview Process
Technical Screen (Python / SQL)
Testing your ability to handle massive, disparate datasets (Nike App data, SNKRS purchase history, retail POS data). Expect complex SQL joins and Pandas manipulation.
Advanced Analytics Case
You must build a predictive model. E.g., 'Predict which users on the SNKRS app are actual humans versus bots attempting to buy limited-edition Jordans, minimizing false positives.'
Brand Storytelling Panel
Crucial: Nike does not want purely academic data scientists. You must prove you can translate a complex k-means clustering model into a compelling story that a sneaker designer will actually care about.
Real Nike Interview Questions
Practice these exact questions faced by previous Data Scientist / Consumer Insights Strategy candidates.
1(Maxim: The Consumer Decides) You've built a churn-prediction model for members of the Nike Run Club (NRC) app. Walk me through exactly how you present these findings to the App Product Manager to ensure the insights actually lead to a change in the app's UX. (Data Storytelling / Influence)
2Nike's Consumer Direct Acceleration (CDA) strategy relies on transitioning wholesale customers to Nike.com. How do you design an attribution model to effectively value an in-store (brick-and-mortar) interaction that eventually leads to an e-commerce purchase 3 weeks later? (Omnichannel Analytics)
3We are launching a highly anticipated, limited-edition collaboration sneaker. Demand outweighs supply by 100x. Walk me through the algorithmic parameters you would build into the 'Draw' system to ensure allocation goes to to the most high-value, long-term brand loyalists rather than resellers. (Predictive Modeling / E-Commerce)
4Write a SQL query to identify 'category cross-over' behavior: Find all users who historically only purchased Basketball shoes, but in the last 6 months have suddenly started purchasing Golf apparel. (Advanced SQL / Consumer Behavior)
5A senior marketing leader completely ignores your data showing a specific marketing channel is delivering a negative ROI, claiming 'it's about brand building, not performance'. How do you structurally measure and quantify 'brand building' to challenge their assumption? (Marketing Mix Modeling / Courage)
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