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HERE Technologies Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 9 interview experiences · FREE TO READ

2.6 Rounds average
Average Typical difficulty
55.6% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at HERE Technologies.

Showing 3 of 9
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Data Scientist

Engineering · half a year ago

Mid Average Positive experience No offer 4 rounds
Interview process
Technical screen Technical screen Technical screen
Interview formats
Technical Technical Technical

Interview process: Four round interview process for an ML Engineer R&D role. First round covered ML and GenAI depth. Second round focused on data engineering and AWS. Third round involved senior Data Scientists assessing research thinking, project depth, and problem solving approach. There was a fourth round not detailed.

Confirmed questions3 questions
  • Maths stats questions
  • Data engineering questions
  • Experience based questions
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HERE Technologies

Data Science Intern

Analytics · more than a year ago

Intern Difficult Positive experience Accept offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical Coding

It was just one round of interviews, and they really focused on my skills, especially in Computer Vision, Deep Learning, and Transformers. Started with chatting about my resume, then some ML concept questions, and finished with a 45-minute live coding test to see my basic coding abilities.

Confirmed questions4 questions
  • Could you walk me through the projects on your resume?
  • What are evaluation metrics such as precision and recall?
  • Can you explain ML concepts like SGD?
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HERE Technologies

Data Scientist

Analytics · more than a year ago

Entry Easy Neutral experience Accept offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral

The HR person will try to play internal politics to offer you less than you deserve, they aren't honest about pay. You need to defend your expectations and ask for more than you think you should get.

Confirmed questions2 questions
  • What do you expect to be paid?
  • Which job grade are you targeting?

HERE Technologies Data Scientist Interview Questions

Quoted word for word from HERE Technologies interview reports.

What is the difference between a linked list and an array?

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Could you explain vanishing and exploding gradients in the context of CNNs?

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What are the methods for detecting missing values in a dataset?

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What are evaluation metrics such as precision and recall?

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Can you describe how Google Maps functions and how one might build a new map using AI with satellite imagery?

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Could you describe basic data structures like binary trees in terms of programming?

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Formats, difficulty and experience

Across all 9 HERE Technologies interview reports.

Interview formats

Technical 47.8%
Coding 26.1%
Behavioral 21.7%
Presentation 4.3%

Interview difficulty

Easy 11.1%
Average 55.6%
Difficult 33.3%

Candidate experience

Positive 55.6%
Negative 22.2%
Neutral 22.2%