FAANG · MAANG
FAANG Data Science Interview Questions
FAANG, also written MAANG, means Amazon, Netflix, Meta and Google. These 25+ data science interview questions come from all of them, in SQL, Python and pandas. Start solving and check your level of preparation.
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All the questions
- FactorialPython
Googleeasy - First unique characterPython
Amazoneasy - Large orders with customer namesSQLAmazoneasy
- Price bandsSQLAmazoneasy
- Products with no brandSQLAmazoneasy
- Remove duplicates, keep the orderPython
Netflixeasy - Revenue by categoryPandasAmazoneasy
- Stock statusSQLAmazoneasy
- Watch time by genrePandasNetflixeasy
- Average reactions per post typeSQL
Metamedium - Completion rate by content typeSQLNetflixmedium
- First and last position of a userPythonMetamedium
- Flatten a category treePythonAmazonmedium
- Hours between scansSQLAmazonmedium
- Merge viewing sessionsPythonNetflixmedium
- Packages still movingSQLAmazonmedium
- Reactions by post typePandasMetamedium
- Revenue by statePandasAmazonmedium
- Salary rank within departmentSQLNetflixmedium
- Stage times per packageSQLAmazonmedium
- The busiest customerSQLAmazonmedium
- Averages that skip NULLsSQLAmazonhard
- Highest paid in each departmentSQLMetahard
- Largest order per customerPandasAmazonhard
- Most-watched title in each countrySQLPremiumNetflixhard
- Paid above the department averageSQLGooglehard
- Posting on consecutive daysSQLPremiumMetahard
- Slowest package per facilitySQLAmazonhard
- Two episodes before landingPythonNetflixhard
Questions last reviewed 19 October 2026.