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Amazon Data Scientist Interview Questions

Amazon tends to assess candidates on SQL and data manipulation, machine learning modeling, and behavioral communication. Understanding these areas is crucial for preparing for problem-solving exercises, model evaluations, and demonstrating collaboration skills during interviews.

  • Expect heavy SQL and Python data exercises
  • Prepare ML modeling and feature engineering questions
  • Anticipate behavioral questions about problem-solving and ownership
64 tracked posts33 rich source postsDominant stage Phone ScreenLatest tracked 2025-04-04Last 365 days

What shows up most at Amazon

These are the question clusters that appear most often in the raw records and should shape how candidates allocate prep time.

Open leaked questions

SQL and data manipulation

19 mentions

Interviews frequently cover query writing, joins, aggregations, and Python/pandas-style data manipulation exercises.

Amazon BIE SQL interview write-up compilation, looking for forum credits!
Online Assessment for a Business Intelligence Engineer position at Amazon.
Amazon BIE phone screen

Behavioral and stakeholder communication

16 mentions

Candidates are evaluated on cross-functional communication, prioritization, and behavioral signals affecting level placement.

Amazon 2023 data science stats/probability interview write-up
Amazon 2023 AS-ML PhD summer intern interview write-up
Amazon AS intern fresh interview write-up

Modeling and ML signal

13 mentions

Expect modeling, machine learning, feature design, and trade-off questions relevant to applied data science loops.

Amazon AS summer intern VO.
Summary of key topics for the Data Scientist position at Amazon, including Statistics,…
Amazon 2023 AS-ML PhD summer intern interview write-up

Where Amazon puts the most pressure

The stage distribution tells candidates where the loop concentrates effort and what kind of reasoning tends to matter most in each round.

Phone Screen

28 records

Initial calls emphasize SQL/data questions and basic problem-solving with some behavioral queries.

Technical Interview

14 records

Focus shifts to modeling, ML trade-offs, probability, and deeper data manipulation questions, plus scenario-based behavioral prompts.

Onsite

14 records

Full-day interviews combine technical depth, ML case discussions, and collaboration-oriented behavioral assessments.

Online Assessment

5 records

This stage appears in the dataset but does not yet have a richer written summary.

Outcome mix

Offer21 records
Pending15 records
Rejected13 records

What Amazon usually signals

Strong SQL and Python data skills correlate with higher offer rates
Clear behavioral communication indicates team fit
Ability to reason through modeling and ML trade-offs signals technical readiness

Representative questions from the visible record set

These examples help users understand the concrete question flavor without dumping the entire raw database into the public page.

Can you provide an example of a time when you learned something quickly and what you did to self-learn?

Technical InterviewAmazon 2023 data science stats/probability interview write-up

Have you ever been the first to discover a problem?

Technical InterviewAmazon 2023 data science stats/probability interview write-up

How do you calculate parameters for two normal distributions?

Technical InterviewAmazon 2023 data science stats/probability interview write-up

What is the Bias-Variance Tradeoff?

Technical InterviewSummary of key topics for the Data Scientist position at Amazon, including Statistics, Descriptive Analytics, Optimization, Probability, and Probability Distribution.

What are the differences and similarities between Bagging and Boosting, and which is better?

Technical InterviewSummary of key topics for the Data Scientist position at Amazon, including Statistics, Descriptive Analytics, Optimization, Probability, and Probability Distribution.

How do you work with small data sets versus large data sets?

Technical InterviewSummary of key topics for the Data Scientist position at Amazon, including Statistics, Descriptive Analytics, Optimization, Probability, and Probability Distribution.

How to prepare for Amazon

The prep layer should stay practical: what to review, which interview themes recur, and how GhostInterview fits the live round instead of just prep week.

Prep focus

Practice SQL joins, aggregations, and Python/pandas exercises
Review common ML models, bias-variance tradeoffs, and feature design
Prepare structured stories highlighting problem-solving, ownership, and rapid learning
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Use GhostInterview during the actual interview

GhostInterview is not just for prep. Use it during live interview loops and follow-up pressure while the conversation is still happening. On supported platforms, the overlay is designed to stay hidden on screen share.

Use GhostInterview during SQL and analytics rounds to structure the query, assumptions, and metric reasoning in real time.
Use in-line notes to track SQL, ML, and behavioral patterns stealthily
Use GhostInterview with its stealth-first workflow so the guidance stays off supported screen shares while you handle deeper stakeholder or technical questions.
Try GhostInterview nowSee stealth setup

Related Interview themes

These are the recurring interview themes worth reviewing before a similar loop.

SQL

Critical for initial screens and assessments; most exercises involve data extraction and aggregation queries.

Data Manipulation

Evaluates practical data handling skills in Python or pandas, essential for real-world DS tasks.

Python

Python proficiency underpins scripting, data cleaning, and modeling exercises in Amazon interviews.

Open representative Amazon records

This public page summarizes the pattern. The database is where users inspect the actual record detail, stage context, and full write-up.

Open Amazon leaked questions
Amazon Applied Scientist Intern Interview Experience

2025(Apr - Jun) · Phone Screen · Rejected

Amazon phone screen record for a Data Scientist role that ended in rejected. Phone Screen record for Amazon for a Data Scientist role. Behavioral questions The questions…

Open in leaked questionsAmazon BIE L5 Rejection Experience

2025(Apr - Jun) · Onsite · Rejected

Amazon onsite record for a Data Scientist role that ended in rejected. Onsite record for Amazon for a Data Scientist role.

Open in leaked questionsAmazon BI Position, Interview Experience + Corresponding LP

2025(Apr - Jun) · Phone Screen · Pending

Amazon phone screen record for a Data Scientist role that ended in pending. Phone Screen record for Amazon for a Data Scientist role. Recently, two classmates sent me go…

Open in leaked questions

Related GhostInterview pages

Open company guideOpen interview question hubInvisible overlay guide

FAQ

What topics are emphasized in Amazon Data Scientist interviews?

SQL, data manipulation, machine learning modeling, and behavioral communication are most frequently assessed.

How important are behavioral questions?

Behavioral and stakeholder communication questions help evaluate collaboration fit and level placement.

Which stages are most technical?

Technical Interviews and Onsite stages emphasize modeling, ML trade-offs, and data manipulation depth.

How can I prepare for SQL questions?

Practice complex queries including joins, aggregations, and data cleaning using Python or SQL environments.

Can GhostInterview help during the actual Amazon interview?

Yes. Use GhostInterview during live coding rounds, system design discussion, and follow-up pressure while the interview is happening. On supported platforms, the overlay is designed to stay hidden on screen share.