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Walmart interview notes, page 10 of 14

Large Enterprises

Most of these Walmart write-ups come from Software Engineers (91), then Product Managers (21) and Data Scientists (13). The most reported rounds are the technical phone screen (47), the hiring manager screen (23), the product sense round (16) and the system design round (13).

139 interview notes · updated Oct 2026

Walmart·Data Scientist·Technical Phone Screen

Jun 2026
Walmart Labs data science interview focused heavily on ad conversion rate prediction, which sounds applied but quickly went into regression theory and ML fundamentals. A few questions I felt okay about, a couple I definitely fumbled on the stats side.
  • How would you build a model to predict ad conversion rate for the next time period using historical campaign data like impressions, clicks, and conversions?
  • Should the conversion rate target variable be transformed before modeling, and if so, why?
  • If you had access to more data, what additional features would you incorporate into the model?
  • How would you evaluate the performance of this conversion rate prediction model?
  • Walk me through the loss function used in logistic regression.
  • Explain PCA in terms of eigenvalues and eigenvectors, and describe the assumptions the method relies on.

“I talked through a few modeling options and landed on using lagged features from prior periods.”

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Walmart·Data Scientist·Technical Phone Screen

Jun 2026
Had a technical discussion with the ML engineering team at Walmart Labs for a Data Scientist role, centered entirely on cross-validation and model selection. Pretty niche focus for one session but they went deep on it.
  • Can you explain how k-fold cross-validation works and why it helps reduce overfitting?
  • How do you choose the value of k, and what are the trade-offs involved in that choice?
  • What is nested cross-validation and in what situations would you use it over standard cross-validation?

“I walked through the mechanics fine, splitting data into k folds, training on k-1, testing on the held-out one, rotating through.”

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Walmart·Software Engineer·Onsite - System Design / Architecture

Jun 2026
Short Walmart Labs system design screen, and I mean short. We burned most of the time on something else so only one question got asked, which was a pretty focused SD problem about package tracking and third-party carrier communication.
  • A user wants to check the delivery status of a package. You have a dedicated server that queries third-party carriers to fetch that status. How would you optimize the communication between your server and those third-party APIs?

“This is the kind of question where you can go a dozen different directions and I wasn't sure which layer they wanted me to focus on.”

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Walmart·Product Manager·Hiring Manager Screen

Jun 2026
Interviewed for a PM role at Walmart Labs, pretty short interaction from what I remember. The e-commerce angle was front and center which makes sense given the company.
  • Walk me through your e-commerce experience.

“Pretty much the opener.”

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Walmart·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Walmart Labs PM interview with a classic resource allocation question dressed up in a pretty weird scenario. One question, no fluff, just the case.
  • Walmart's top-selling product is Great Value Dish Soap. The company now wants to launch Great Value Laptops. As a PM, how do you decide whether to put resources into growing dish soap or launching the laptops?

“I kind of froze for a second because the setup feels absurd on purpose.”

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Walmart·Software Engineer·Onsite - System Design / Architecture

Jun 2026
System design round at Walmart Labs focused entirely on building a multi-carrier shipping platform. Pretty dense question with a lot of moving parts, and I felt like I was playing catch-up the whole time trying to cover everything they wanted.
  • Design a parcel shipping system that supports multiple carriers like UPS, USPS, and FedEx, covering shipment creation, carrier selection, label generation, tracking, and a unified internal API that abstracts carrier-specific differences.

“I started with the data model because that felt safest, shipment, address, carrier, label, tracking event.”

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Walmart·Software Engineer·Onsite - System Design / Architecture

Jun 2026
System design round at Walmart Labs for a software engineer role. The whole session was basically one big question about building a multi-carrier shipping platform, and they went pretty deep on almost every layer of it.
  • Design a customer-facing package delivery service that integrates with multiple shipping carriers like UPS, USPS, and FedEx. Walk through the full system: customer API, carrier abstraction, rate shopping, label generation, async tracking, failure handling, idempotency, scaling, and observability.

“This is a lot to cover in one session.”

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Walmart·Software Engineer·Onsite - System Design / Architecture

Jun 2026
System design round at Walmart Labs focused entirely on building a Ticketmaster-style platform. One long question, lots of ground to cover, and the seat-locking piece under contention is where things got interesting.
  • Design a large-scale ticketing platform (like Ticketmaster) that supports event browsing, seat selection, ticket purchasing, and refunds without overselling seats.

“This one is deceptively wide.”

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Walmart·Mobile Engineer·Technical Phone Screen

Jun 2026
Walmart Labs mobile engineer interview that leaned surprisingly algorithmic. The main challenge was an array permutation problem that pushed you to think beyond brute force, which felt a bit out of left field for a mobile role.
  • Given two equal-length arrays A and B, define s as the sum of B[i] where B[i] is strictly greater than A[i]. Find the maximum possible value of s across all permutations of B.

“This one took me a minute to even understand what they were asking.”

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Walmart·Data Scientist·Technical Phone Screen

Jun 2026
Interviewed for a Data Scientist role at Walmart Labs and got a scenario-based stats question about A/B testing for a marketing feature. Pretty technical for what I expected to be a lighter screen.
  • How do you calculate the required sample size for an A/B test?
  • What approaches can you use to increase the statistical power of an experiment without just collecting more data?

“I knew the general answer but fumbled the vocabulary under pressure.”

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