Hitachi Interview Questions
Published March 27, 2026
Estimated reading time: 5 minutes
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Machine Learning
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Hitachi Interview Questions
Practice for the Hitachi interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
Machine Learning | Medium | |
We want to build a model to predict housing prices in the city of Seattle. We’ve scraped 100K sold listings over the past three years but found that around 20% of the listings are missing square footage data. How do we deal with the missing data to construct our model? | ||
Data Structures & Algorithms | Medium | |
Data Structures & Algorithms | Easy | |
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SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
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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 $189,500 base salary while the Business Analyst role on average pays the least with a $76,107 base salary.
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