Professional networking platform with rich data and ML-driven recommendations.
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
•
Behavioral
•
medium
Tell me about a time you disagreed with a Product Manager about how to interpret an experiment's results.
#Conflict Resolution
#Stakeholder Management
#Data Driven
Data Scientist
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Behavioral
•
medium
LinkedIn's first core value is 'Members First'. Describe a time you had to balance user experience with company revenue goals.
#Values
#Decision Making
#Ethics
Data Scientist
•
Behavioral
•
medium
How do you communicate complex statistical concepts, like p-values or network interference, to non-technical stakeholders?
#Communication
#Storytelling
#Cross-functional
Data Scientist
•
Behavioral
•
medium
Tell me about a time a machine learning model or data pipeline you built failed in production. How did you handle it?
#Accountability
#Problem Solving
#Post-mortems
Data Scientist
•
Behavioral
•
medium
Describe a time you took ownership of a vague, unstructured problem and drove it to a measurable business impact.
#Ambiguity
#Initiative
#Execution
Data Scientist
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Coding
•
medium
Write a SQL query to find the top 3 most requested skills for Data Science job postings in the last 30 days.
#Window Functions
#Aggregations
#Date Functions
Data Scientist
•
Coding
•
medium
Given a 'connection_requests' table, write a query to calculate the daily connection acceptance rate.
#Ratio Calculations
#Group By
#Case Statements
Data Scientist
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Coding
•
medium
Write a SQL query to find the percentage of users who sent a LinkedIn message but did not receive a reply within 24 hours.
#Self Joins
#Time Intervals
#Left Joins
Data Scientist
•
Coding
•
medium
Given a table of job applications, write a SQL query to compute the 7-day rolling average of applications per job category.
#Window Functions
#Rolling Averages
#Time Series
Data Scientist
•
Coding
•
hard
Write a SQL query to find all 2nd-degree connections for a given user ID.
#Graph Traversal in SQL
#Self Joins
#Filtering
Data Scientist
•
Coding
•
easy
Write a Python function to compute the Jaccard similarity between two users based on their listed skills.
#Python
#Set Operations
#Math
Data Scientist
•
Coding
•
medium
Given an adjacency list representing LinkedIn connections, write a function to find the shortest path (degrees of separation) between two users.
#Graphs
#BFS
#Python
Data Scientist
•
Coding
•
medium
Write a Python script to parse a log file of user events and return the most frequent sequence of 3 pages visited before a job application.
#Data Manipulation
#Sliding Window
#Hashing
Data Scientist
•
Coding
•
hard
Implement a K-Means clustering algorithm from scratch in Python to group similar job postings.
#Machine Learning from Scratch
#Linear Algebra
#Python
Data Scientist
•
Coding
•
easy
Given an array of daily active users for the past year, find the longest contiguous subarray where the DAU is strictly increasing.
#Arrays
#Dynamic Programming
#Python
Data Scientist
•
System Design
•
hard
How would you design a recommendation system for LinkedIn Learning courses?
#Recommender Systems
#Collaborative Filtering
#Cold Start
Data Scientist
•
System Design
•
hard
At a high level, how would you design the ranking algorithm for the LinkedIn Feed?
#Ranking
#Machine Learning Architecture
#Personalization
Data Scientist
•
System Design
•
hard
Design the data pipeline and telemetry required to support LinkedIn's 'Who Viewed Your Profile' feature.
#Data Engineering
#Streaming
#Batch Processing
Data Scientist
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System Design
•
hard
How would you design an experimentation platform that accounts for bipartite network interference between job seekers and recruiters?
#Experimentation Architecture
#Bipartite Networks
#Marketplaces
Data Scientist
•
System Design
•
hard
Design the architecture and metrics for a real-time 'Trending News' module on the LinkedIn homepage.
#Real-time Systems
#NLP
#Ranking
Data Scientist
•
System Design
•
hard
How would you scale the 'People You May Know' graph algorithm to efficiently compute recommendations for 800M+ users daily?
#Big Data
#Graph Processing
#Scalability
Data Scientist
•
System Design
•
hard
Design an automated anomaly detection system to track and alert on data quality issues in the core user profile database.
#Data Quality
#Anomaly Detection
#Monitoring
Data Scientist
•
Technical
•
medium
How would you measure the success of the 'Open to Work' profile photo frame?
#Metric Design
#Product Strategy
#User Funnels
Data Scientist
•
Technical
•
hard
LinkedIn Feed engagement (time spent) is down 5% week-over-week, but DAU is up 2%. How would you investigate the root cause?
#Root Cause Analysis
#Metric Debugging
#User Segmentation
Data Scientist
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Technical
•
medium
Design a core metric to evaluate the health of the 'People You May Know' (PYMK) feature.
#Metric Design
#Network Effects
#Engagement
Data Scientist
•
Technical
•
medium
Product wants to increase the ad load in the LinkedIn feed by 10%. What metrics would you look at to evaluate the trade-offs?
#Trade-off Analysis
#Monetization
#User Experience
Data Scientist
•
Technical
•
hard
How would you measure the cannibalization impact of a new LinkedIn Premium tier on existing tiers?
#Cannibalization
#Subscription Metrics
#Revenue Modeling
Data Scientist
•
Technical
•
hard
How would you design an A/B test for a new messaging feature, considering network effects?
#Network Effects
#A/B Testing
#Interference
Data Scientist
•
Technical
•
medium
An A/B test for a new job recommendation algorithm shows a 5% increase in applications but a 2% decrease in feed engagement. Do we launch?
#Decision Making
#Trade-offs
#A/B Testing
Data Scientist
•
Technical
•
medium
How do you calculate the required sample size to detect a 1% lift in connection request acceptance rate?
#Statistical Power
#Sample Size
#Hypothesis Testing
Data Scientist
•
Technical
•
medium
You run an A/B test and the p-value is 0.051. What is your recommendation to the product team?
#P-values
#Statistical Significance
#Decision Making
Data Scientist
•
Technical
•
medium
How do you differentiate between a novelty effect and a true behavioral change when launching a new profile layout?
#Novelty Effect
#A/B Testing
#Longitudinal Analysis
Data Scientist
•
Technical
•
medium
What features and models would you use to detect fake profiles or spam accounts on LinkedIn?
#Classification
#Anomaly Detection
#Feature Engineering
Data Scientist
•
Technical
•
medium
How would you build a model to predict which users are likely to churn from their LinkedIn Premium subscription?
#Churn Prediction
#Survival Analysis
#Classification
Data Scientist
•
Technical
•
hard
Explain how you would extract and normalize skills from a raw text resume.
#NLP
#Named Entity Recognition
#Embeddings
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.