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Samsung·Software Engineer·Onsite - Product Sense / Strategy·Intermediate

Intermediate
Jun 2026

Summary

Samsung interview focused entirely on data collection strategy for their e-commerce platform. One question, pretty open-ended, but it went deeper than I expected once we got into the weeds.

Questions Asked (1)

Q1

A customer just purchased a product on Samsung.com. What data could you collect about that buyer, and how would you go about collecting it?

Product Analytics & MetricsData ModelingSystem Design
Author's notes

I started rattling off the obvious stuff: name, email, shipping address, payment method.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the scope—what data is needed and for what purpose—then outline the categories of data (user, product, transaction, behavioral) and the collection methods (client-side, server-side, third-party). Emphasize data quality, privacy, and scalability considerations.

Pro tip: Show awareness of privacy regulations like GDPR/CCPA and Samsung's own privacy policies; mention how you'd balance personalization with user consent and data minimization.

1. Clarify Requirements and Scope

Ask clarifying questions to understand what the data will be used for (e.g., personalization, analytics, fraud detection) and any constraints (e.g., real-time, privacy).

2. Identify Data Categories

List the types of data: user demographics, device info, product details, transaction data, behavioral data (clicks, time on page), and contextual data (referrer, campaign).

3. Determine Collection Methods

Describe how to collect each type: client-side (JavaScript, SDKs), server-side (API logs, database), and third-party (CRM, analytics tools).

4. Address Data Quality and Privacy

Discuss validation, deduplication, and compliance with regulations (GDPR, CCPA) and Samsung's policies, including consent management.

5. Design for Scalability and Integration

Explain how to handle high volume, ensure data flows into analytics/CRM systems, and support real-time or batch processing.

Key Points to Mention

  • User data: account info, demographics, contact details
  • Device and browser data: user agent, IP, device type
  • Product and transaction data: SKU, price, payment method, order ID
  • Behavioral data: page views, clicks, time on site, cart abandonment
  • Collection methods: client-side tracking (JavaScript, pixels), server-side APIs, cookies, local storage
  • Privacy and compliance: GDPR, CCPA, consent, data minimization, encryption

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