Philips Interview Questions

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Philips Interview Questions

Practice for the Philips interview with these recently asked interview questions.

QuestionTopicDifficulty
Machine Learning
Easy

Let’s say you work as a data scientist at a bank.

You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan they are taking out.

  1. How would you evaluate whether using a decision tree algorithm is the correct model for the problem?

  2. Let’s say you move forward with the decision tree model. How would you evaluate the performance of the model before deployment and after?

Behavioral
Medium
Machine Learning
Hard
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Philips Salaries by Position

ML Engineer*
$116K
$132K
ML Engineer
Median: $124K
Mean (Average): $124K
Data points: 2
$68K
$158K
Software Engineer
Median: $113K
Mean (Average): $113K
Data points: 30
$95K
$118K
AI Research Scientist
Median: $113K
Mean (Average): $109K
Data points: 7
$79K
$135K
Data Scientist
Median: $105K
Mean (Average): $109K
Data points: 5
$58K
$121K
Business Analyst
Median: $113K
Mean (Average): $98K
Data points: 6
$89K
$109K
Business Intelligence
Median: $92K
Mean (Average): $96K
Data points: 4
Product Manager*
$90K
Product Manager
Median: $90K
Mean (Average): $90K
Data points: 1

Most data science positions fall under different position titles depending on the actual role.

From the graph we can see that on average the ML Engineer role pays the most with a $124,000 base salary while the Product Manager role on average pays the least with a $90,000 base salary.

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