
Uber
Data Scientist

Practice for Data Scientist
Uber
Initial Screening
A preliminary conversation to understand your background, experience, and interest in the Data Scientist role at Uber. This round also assesses your communication skills and overall fit for the company.
Tell me about your experience with data analysis and modeling. What tools and techniques are you most comfortable with?
Why are you interested in working as a Data Scientist at Uber?
Describe a challenging data science project you worked on. What were the key obstacles, and how did you overcome them?
All interviews are private and won't be shared with the recruiters.
Technical Deep Dive
This round focuses on your technical skills and problem-solving abilities. You'll be asked to solve coding problems, design algorithms, and discuss your approach to data analysis.
Given a dataset of Uber ride requests, how would you predict the demand for rides in a specific area at a particular time?
How would you design an experiment to test the impact of a new feature in the Uber app?
Explain how you would handle missing data in a large dataset. What are some common imputation techniques, and when would you use them?
All interviews are private and won't be shared with the recruiters.
Uber's Cultural Values & Behavioral Assessment
This round assesses how well you align with Uber's cultural values and how you handle workplace situations. Expect questions about teamwork, leadership, and problem-solving in a professional context.
Describe a time you had to make a data-driven decision that was unpopular with your team. How did you handle the situation?
Tell me about a time you had to work with a difficult stakeholder. How did you manage the relationship and ensure a successful outcome?
Uber values 'Customer Obsession.' Describe a situation where you went above and beyond to meet a customer's needs or solve a customer problem.
All interviews are private and won't be shared with the recruiters.
Product Sense & Strategy
This round evaluates your ability to think strategically about Uber's products and services. You'll be asked to analyze product metrics, identify opportunities for improvement, and propose innovative solutions.
How would you measure the success of a new feature designed to reduce wait times for Uber riders?
What are some potential risks or unintended consequences of implementing surge pricing during periods of high demand?
How would you use data to identify new market opportunities for Uber?
All interviews are private and won't be shared with the recruiters.