Amazon Data Scientist Interview Questions
Amazon Data Scientist interview questions are famously comprehensive because Amazon evaluates both technical depth and Amazonian fit. Expect a mix of SQL and Python problems, statistics and experiment-design questions, machine‑learning discussion, and behavioral probes tied to Amazon’s Leadership Principles. Interviews typically include an initial recruiter screen, one or two technical phone screens, and a loop of 4–6 on‑site/virtual interviews where each 45–60 minute slot focuses on a different competency. Interviewers look for clear problem decomposition, metric-driven thinking, defensible trade‑offs, and the ability to translate analysis into business impact. For effective interview preparation, build a structured plan: craft concise STAR stories mapped to Leadership Principles with quantified outcomes, drill SQL (joins, window functions, CTEs, performance), refresh statistics and A/B testing fundamentals, and sharpen Python/data-manipulation skills. Practice explaining assumptions, communicating results for technical and non‑technical audiences, and walking through model choices and evaluation metrics. Mock interviews and timed problem sets that simulate the loop rhythm are especially valuable to convert knowledge into polished, confident answers.
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Analyze Top 10 Items' Revenue Contribution by Category
sales +----------+------------+---------+---------+------------+ | order_id | category | item_id | revenue | order_date | +----------+------------+-...
Determine Maximum Path Length in Directed Acyclic Graph
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events +----------+---------+---------------------+ | event_id | user_id | event_time | +----------+---------+---------------------+ | 1 ...
Compute 3-Day Rolling Revenue Averages with Pandas
sales +------------+-----------+-------+---------+ | date | product_id| units | revenue | +------------+-----------+-------+---------+ | 2023-01...
Analyze Monthly Prime vs Non-Prime Sales and Price Buckets
sales +-----------+------------+----------+-------+ | order_id | order_date | is_prime | price | +-----------+------------+----------+-------+ | 1001...
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Scenario Social network needs to compute the shortest friend-distance between two users in an undirected graph containing millions of nodes. Question ...
Create Country-Level Spend Report Using Pandas
users +---------+---------+ | user_id | country | +---------+---------+ | 1 | US | | 2 | CA | | 3 | US | +---------+-...
Explain MySQL to MS SQL Server query syntax differences.
transactions | id | user_id | amount | txn_date | |----|---------|--------|----------| | 1 | 1001 | 25.00 | 2023-07-01 | | 2 | 1002 | 40.00 ...
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Design Incremental Load Process for Large Relational Table
orders_daily_load +------------+-----------+-------------+--------+ | load_date | order_id | customer_id | amount | +------------+-----------+------...
Identify SQL Joins and Correct Query Errors
Winner +----+-------+ | ID | Name | +----+-------+ | 1 | Alice | | 2 | Bob | | 3 | Carol | +----+-------+ Loser +----+-------+ | ID | Name | ...
Identify Top Spenders and Segment Customers Using Python
orders +----------+---------+------------+----------+--------------+-------------------+ | order_id | cust_id | order_date | product | order_amount |...
Explore Subscription Patterns and Status Transitions with SQL/Pandas
subscriptions +-----------------+---------+-------------+ | subscription_id | status | status_date | +-----------------+---------+-------------+ | 10...
Consolidate and Rank Global Salaries in USD
employees_us +---------+----------+--------+---------+ | emp_id | name | salary | country | +---------+----------+--------+---------+ | 1 |...
Implement Function to Determine Mode and Prime Numbers
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Calculate 7-Day Rolling Average for Energy Consumption
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Identify Date with Highest Total kWh Consumption Using Pandas
meter_readings +----------+------------+---------------+---------+ | meter_id | timestamp | kwh_consumed | city | +----------+------------+------...
Calculate Regional Revenue and Identify Top Customers
Customers | customer_id | name | region | |-------------|-------|--------| | 1 | Alice | East | | 2 | Bob | West | | 3 ...