Practice for the T-Mobile interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
Product Sense & Metrics | Medium | |
Let’s say Verizon launches a wireless plan that offers unlimited data after 8 p.m. each night, and you notice some customers suddenly using 10x more data during that window than the average user. How would you distinguish between fraud and product abuse in this scenario, and how might your findings shape future product or policy decisions? | ||
Analytics | 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 |
Check your skills...
How prepared are you for working at T-Mobile?
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Product Manager role pays the most with a $149,828 base salary while the Data Analyst role on average pays the least with a $101,250 base salary.
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