Lawrence Livermore National Laboratory Interview Questions

Lawrence Livermore National Laboratory Interview Guides

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A/B Testing
(11)
Data Structures & Algorithms
(10)
Machine Learning
(10)
Behavioral
(5)
Statistics
(4)

Lawrence Livermore National Laboratory Interview Questions

Practice for the Lawrence Livermore National Laboratory interview with these recently asked interview questions.

QuestionTopicDifficulty
Data Structures & Algorithms
Easy

Given two sorted lists, write a function to merge them into one sorted list.

Bonus: What’s the time complexity?

Example:

Input:

list1 = [1,2,5]
list2 = [2,4,6]

Output:

def merge_list(list1,list2) -> [1,2,2,4,5,6]
A/B Testing
Medium
Behavioral
Medium
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Lawrence Livermore National Laboratory Salaries by Position

$139K
$179K
Software Engineer
Median: $165K
Mean (Average): $161K
Data points: 4
$140K
$167K
ML Engineer
Median: $140K
Mean (Average): $150K
Data points: 3
Data Engineer*
$125K
$130K
Data Engineer
Median: $128K
Mean (Average): $128K
Data points: 2
Business Analyst*
$76K
$102K
Business Analyst
Median: $89K
Mean (Average): $89K
Data points: 2

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

From the graph we can see that on average the Software Engineer role pays the most with a $161,250 base salary while the Business Analyst role on average pays the least with a $89,250 base salary.

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