Getting ready for an Data Scientist interview at T-Mobile? The T-Mobile Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the T-Mobile Data Scientist interview.
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Typically, interviews at T-Mobile vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.
We've gathered this data from parsing thousands of interview experiences sourced from members.
Practice for the T-Mobile Data Scientist interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
Analytics | Medium | |
Let’s say you’re a risk analyst at a telecom company, and you have access to transaction and billing data covering millions of call and data usage events each month. Leadership suspects that revenue may be leaking due to mismatches between the number of usage events recorded and what customers are actually billed, but it’s unclear if the cause is system glitches, delayed reporting, pricing errors, or even fraud. How would you go about analyzing the data to surface where revenue is leaking, and what patterns or signals would help you tell apart technical issues from intentional misuse? | ||
Product Sense & Metrics | Medium | |
SQL | Easy | |
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
Discussion & Interview Experiences