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Swisscom Data Scientist Interview Questions
& Process

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

Based on 6 interview experiences · FREE TO READ

1.8 Rounds average
Average Typical difficulty
83.3% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Swisscom.

Showing 3 of 6
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Swisscom

Data Scientist

Analytics · more than a year ago

Intern Difficult Positive experience Accept offer 2 rounds
Interview process
Take home Technical screen Presentation
Interview formats
Technical Coding Presentation

Had two one-on-one interviews with the project lead. A short 4-hour take-home project was assigned during the first interview. The second interview involved discussing the results and the problem-solving methodology. Lots of questions about machine learning and optimization.

Confirmed questions1 question
  • What kind of machine learning model would you use in a given situation?
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Swisscom

Data Science Consultant

Consulting · more than a year ago

Entry Average Neutral experience Decline offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral Technical

The Swisscom team introduced themselves briefly, and then we went through my CV together. For each position, we discussed technical and business details. Some smaller questions about my studies were also asked.

Confirmed questions1 question
  • What are your main interests in Data Science?
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Swisscom

Data Scientist

Analytics

Mid Easy Positive experience Accept offer 1 round
Interview process
Presentation Technical screen
Interview formats
Presentation Technical Coding

The process kicked off via an employee referral. It consisted of a presentation followed by technical questions. The questions focused on Machine Learning concepts, with some software engineering queries also included. The entire interview lasted 2 hours and the process moved quite quickly.

Confirmed questions1 question
  • Can you explain the workings of PCA?

Swisscom Data Scientist Interview Questions

Quoted word for word from Swisscom interview reports.

Can you explain how servers distribute streaming content to a large number of receivers, and how to address server-side bottlenecks during live streaming when direct streaming to all devices is not feasible?

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Could you explain the concept of topic modeling, including the underlying intuition, to someone in a business role with no technical background?

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What kind of machine learning model would you use in a given situation?

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Can you answer some general computer science questions?

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Formats, difficulty and experience

Across all 6 Swisscom interview reports.

Interview formats

Technical 42.9%
Behavioral 21.4%
Presentation 21.4%
Coding 14.3%

Interview difficulty

Easy 16.7%
Average 66.7%
Difficult 16.7%

Candidate experience

Positive 83.3%
Neutral 16.7%