Practice for the Pearson interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
A/B Testing | Medium | |
An e-commerce team wants to test whether changing the checkout button color increases conversions. You have an experiment group and a control group, and you need to decide whether the change is worth launching. How would you set up the A/B test end to end: define the hypothesis, choose the right metrics and guardrails, determine sample size inputs, avoid bias in assignment, decide how long to run the test, and analyze the results before making a launch decision? | ||
SQL | Medium | |
SQL | Hard | |
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 Pearson?
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 $135,000 base salary while the ML Engineer role on average pays the least with a $113,333 base salary.
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