Spotify
Music streaming platform using ML for personalization and recommendation.
4 Rounds
~21 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Data Scientist
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Behavioral
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medium
You are running an A/B test for a new recommendation algorithm, but the p-value is 0.06. Stakeholders want to launch it anyway because the UI looks better. What do you do?
#Communication
#Statistics
#Decision Making
Data Scientist
•
Behavioral
•
easy
How would you explain a p-value to a non-technical product manager?
#Statistics
#Stakeholder Management
Data Scientist
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Behavioral
•
medium
Tell me about a time you had to push back on a stakeholder's request because the data didn't support their hypothesis.
#Communication
#Conflict Resolution
#Data-Driven Decisions
Data Scientist
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Behavioral
•
medium
Describe a project where you had to work with messy, unstructured data. How did you handle it?
#Data Engineering
#Problem Solving
Data Scientist
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Behavioral
•
easy
Spotify values being playful and sincere. Can you share an example of how you brought these traits to your previous team?
#Core Values
#Teamwork
Data Scientist
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Behavioral
•
medium
Tell me about a time your model or analysis failed in production. What did you learn?
#Failure
#Continuous Improvement
#MLOps
Data Scientist
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Behavioral
•
medium
How do you prioritize your work when multiple product managers are asking for ad-hoc analyses simultaneously?
#Time Management
#Prioritization
#Stakeholder Management
Data Scientist
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Coding
•
medium
Write a SQL query to find the top 3 most streamed songs per country in the last 30 days.
#Window Functions
#Aggregations
Data Scientist
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Coding
•
hard
Given a table of user play events, write a query to calculate the average session length. A session ends after 30 minutes of inactivity.
#Sessionization
#Window Functions
#Advanced SQL
Data Scientist
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Coding
•
medium
Write a SQL query to find the 7-day rolling average of daily streams for a specific artist.
#Window Functions
#Time Series
Data Scientist
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Coding
•
hard
Write a query to identify users who listened to the exact same sequence of 5 songs.
#String Aggregation
#Window Functions
#Self Joins
Data Scientist
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Coding
•
easy
Write a Python function to calculate the cosine similarity between two user embedding vectors.
#Python
#Math
#Vectors
Data Scientist
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Coding
•
medium
Given a list of user listening histories, write a function to find the longest contiguous subsegment of songs by the same artist.
#Python
#Arrays
#Two Pointers
Data Scientist
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Coding
•
medium
Simulate a biased coin (e.g., 70% heads) using a fair coin in Python.
#Probability
#Simulation
#Python
Data Scientist
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Coding
•
easy
Write a Pandas script to merge two large datasets of user demographics and listening history, handling missing values appropriately.
#Python
#Pandas
#Data Cleaning
Data Scientist
•
Coding
•
hard
Implement the K-means clustering algorithm from scratch in Python.
#Machine Learning
#Python
#Math
Data Scientist
•
System Design
•
hard
Design a recommendation system for Spotify's Home page.
#Recommendation Systems
#Architecture
#Scalability
Data Scientist
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System Design
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hard
Design a system to detect fraudulent streams (e.g., bot farms artificially inflating play counts).
#Anomaly Detection
#Streaming Data
#Fraud
Data Scientist
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System Design
•
hard
Design an ML pipeline to automatically classify podcasts into different genres based on audio and text features.
#NLP
#Audio Processing
#MLOps
Data Scientist
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Technical
•
medium
How would you design an A/B test to evaluate a new feature that automatically skips podcast intros?
#A/B Testing
#Experimentation
#Product Sense
Data Scientist
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Technical
•
medium
We noticed a 5% drop in daily active users (DAU) on the mobile app yesterday. How do you investigate this?
#Root Cause Analysis
#Metrics
#Data Investigation
Data Scientist
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Technical
•
medium
How would you measure the success of the annual Spotify Wrapped campaign?
#Product Sense
#Engagement Metrics
#Viral Growth
Data Scientist
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Technical
•
hard
Explain network effects in A/B testing. How would you account for them if we test a new collaborative playlist feature?
#A/B Testing
#Network Effects
#Advanced Statistics
Data Scientist
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Technical
•
medium
How does collaborative filtering work, and how would you apply it to recommend podcasts to existing music listeners?
#Recommendation Systems
#Collaborative Filtering
#Cross-domain Recommendations
Data Scientist
•
Technical
•
hard
How do you handle the 'cold start' problem for a newly uploaded track with zero listens?
#Recommendation Systems
#Cold Start
#Content-based Filtering
Data Scientist
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Technical
•
medium
What evaluation metrics would you use for an offline playlist continuation model?
#Model Evaluation
#Ranking Metrics
Data Scientist
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Technical
•
easy
Explain the difference between implicit and explicit feedback. How does Spotify use both?
#Data Collection
#Recommendation Systems
Data Scientist
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Technical
•
medium
How would you optimize a slow-running SQL query that joins a billion-row streams table with a million-row users table?
#Query Optimization
#Big Data
#Performance
Data Scientist
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Technical
•
easy
What is the difference between a Type I and Type II error? Give a Spotify-specific example.
#Hypothesis Testing
#Probability
Data Scientist
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Technical
•
medium
If a user has a 10% chance of skipping a song, what is the probability they skip exactly 3 out of 10 songs?
#Probability
#Binomial Distribution
Data Scientist
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Technical
•
medium
How do you deal with outliers in user streaming data before running a regression model?
#Data Preprocessing
#Modeling
Data Scientist
•
Technical
•
medium
Explain Simpson's Paradox and how it might occur when analyzing premium conversion rates across different regions.
#Data Analysis
#Causal Inference
Data Scientist
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Technical
•
medium
How would you model user churn for Spotify Premium? What features would you include?
#Classification
#Feature Engineering
#Churn
Data Scientist
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Technical
•
hard
We want to launch a new subscription tier for audiobooks. How would you estimate the cannibalization effect on our existing Premium tier?
#Causal Inference
#Market Analysis
#Experimentation
Data Scientist
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Technical
•
medium
How would you use LLMs to improve the search experience on Spotify?
#LLMs
#Search
#NLP
Difficulty Radar
Based on recent AI-sourced data.
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The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.