Top 47
Prep plan
Updated weekly · Last refresh Oct 17

Tinder Data Scientist Interview Questions

The questions to prepare for a Tinder Data Scientist interview. Questions from real interview reports rank first. Updated daily.

47questions
~7htotal time
Track your progressSign up free to work through all 47 questions and resume where you left off.
Start practicing free →
1
SQL & Data ManipulationStart here. 4 questions · ~36 min
Rolling 7-Day Swipes AverageMedium
Practice

Calculate each Tinder user's rolling 7-day swipe average using daily aggregation and a date-based window frame.

Window FunctionsDate FunctionsRunning TotalsTinder
Average Swipes Last MonthEasy
Practice

Task Tinder's Data Science team wants to measure average user engagement during the most recently completed calendar month. Write a PostgreSQL query that c...

Date FunctionsGroup ByAggregationsTinder
More SQL & Data Manipulation questions with a free account
2
A/B Testing & Experimentation9 questions · ~81 min
When to Prefer Quasi-ExperimentsHard

Decide when randomization is infeasible or invalid and when a quasi-experiment is the better causal design.

ExperimentationCausal InferenceA/B TestingTinder
Network Interference in Collaboration TestMedium

Explain when network interference threatens an A/B test, how it biases estimates, and how to redesign the experiment safely.

Network InterferenceExperimentationA/B TestingTinder
More A/B Testing & Experimentation questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
Statistics & Probability7 questions · ~63 min
Explaining Confidence IntervalsEasy

Explain what a confidence interval means and how to communicate it to a non-technical stakeholder.

Confidence IntervalsHypothesis TestingCommunicationTinder
More Statistics & Probability questions with a free account
4
Metrics6 questions · ~54 min
Measure Retention Beyond ConversionsMedium

Assess whether campaign-driven conversions turn into retained, valuable users instead of short-lived acquisition spikes.

RetentionConversion RateDiagnosisTinder
More Metrics questions with a free account
5
Machine Learning4 questions · ~36 min
Handling Missing Data in MLMedium

Explain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.

Feature EngineeringData WranglingSupervised LearningTinder
More Machine Learning questions with a free account
6
Product Sense3 questions · ~27 min
Diagnose Subscription DropMedium

Assesses your ability to diagnose metric anomalies in Tinder subscription reporting and identify plausible root causes.

product metricsTinder
More Product Sense questions with a free account
7
More topics14 questions · ~126 min
More questions with a free account
The finish line: interview-readyComplete all 47 questions to finish this plan.