Uber Machine Learning Interview Questions

This page represents some of the following in relation with Uber Data Science / Machine Learning interview questions:

  • Interview questions
  • Data Science challenge
  • Machine learning problems

These questions / problems etc have been gathered from different websites and blogs including Glassdoor, Github, Blogs etc.


Data Science / Machine Learning Interview Questions

  • Uber’s surge pricing algorithm including optimization techniques which can be used. Here is a great write up on The secrets of Uber’s mysterious surge pricing algorithm, revealed
  • How would you find / investigate an anomaly in a distribution?
  • What are different Time Series forecasting techniques?
  • Explain Principle Component Analysis (PCA) with equations?
  • How would you go about solving Multicollinearity?
  • What algorithms would you use to solve Uber driver accepting a ride request? How would you evaluate the results?
  • Questions related with probability and statistics fundamentals
  • Customer / Rider retention problem (Here is a great page on Customer / Rider retention

Data Science Challenge Questions

Here are some good links for helping you prepare for Uber Data Science / Machine Learning challenge questions:

Machine Learning Problems

You may also want to spend some time thinking through some of the following problems. The details in relation with some of the following can be found on this page, Uber Data Scientist

  • Marketplace optimization
  • Real-time marketplace forecasting
  • Product analytics
  • Surge pricing problem
  • Customer retention problem
  • Uber driving a rider request


Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Recent Posts

Agentic Reasoning Design Patterns in AI: Examples

In recent years, artificial intelligence (AI) has evolved to include more sophisticated and capable agents,…

3 weeks ago

LLMs for Adaptive Learning & Personalized Education

Adaptive learning helps in tailoring learning experiences to fit the unique needs of each student.…

4 weeks ago

Sparse Mixture of Experts (MoE) Models: Examples

With the increasing demand for more powerful machine learning (ML) systems that can handle diverse…

1 month ago

Anxiety Disorder Detection & Machine Learning Techniques

Anxiety is a common mental health condition that affects millions of people around the world.…

1 month ago

Confounder Features & Machine Learning Models: Examples

In machine learning, confounder features or variables can significantly affect the accuracy and validity of…

1 month ago

Credit Card Fraud Detection & Machine Learning

Last updated: 26 Sept, 2024 Credit card fraud detection is a major concern for credit…

1 month ago