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Tapad Data Scientist Interview Questions
& Process

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

Based on 7 interview experiences · FREE TO READ

2.9 Rounds average
Average Typical difficulty
71.4% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Tapad.

Showing 3 of 7
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Data Scientist

Analytics · more than a year ago

Intern Average Positive experience Accept offer 5 rounds
Interview process
Recruiter call Technical screen Onsite Offer
Interview formats
Technical Coding Behavioral

I first encountered Tapad at a university career fair, where I had a great conversation with a data scientist. A week later, a recruiter reached out about the Summer Internship Program, suggesting I apply based on my background. The hiring process was quite smooth, and the HR team was very responsive and helpful. I went through two technical phone interviews with different Data Science team members. These involved discussing my past experience and projects, along with some technical questions covering math and machine learning concepts. Soon after the second phone interview, I was invited to their NYC office for onsite interviews. The recruiter was very friendly and gave me a tour. I then had three 30-45 minute interviews with the two data scientists from the phone screens and the VP of Data Science. These interviews included more technical questions and a coding exercise. I really enjoyed the discussions with the team, and the technical questions were engaging, feeling more like a conversation than a traditional interview. After the winter break, I received a call with an offer for the summer internship program.

Confirmed questions3 questions
  • Tell me about your previous experience and projects.
  • Can you answer some technical questions about math and machine learning?
  • Please complete a coding exercise.
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Tapad

Data Scientist

Analytics · more than a year ago

Entry Average Negative experience No offer 2 rounds
Interview process
Recruiter call Background check
Interview formats
Behavioral

I applied online and then HR contacted me. It took HR two weeks to schedule the interview. Once we started talking, the HR person mentioned that the Data Science team members were mostly from Ivy League schools, but then quickly added that they do consider non-Ivy League graduates too. At that point, I felt like I was just wasting my time and that I was only being interviewed to meet some quota. A week later, I received a very brief and uninformative rejection email with no explanation. It felt unprofessional and like a complete waste of my time.

Confirmed questions1 question
  • Could you share your Masters GPA?
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Tapad

Data Scientist

Analytics

Mid Average Positive experience Decline offer 3 rounds
Interview process
Presentation Technical screen Onsite
Interview formats
Presentation Technical Technical

It was a three-round process: a phone screen, a tech screen, and an on-site. First, we had a 30-minute presentation with the DS team. Then, there were two more technical rounds with the DS folks. One focused on ML/DL, and the other on metrics/stats. The interviewers were really nice and all the teams were friendly. The recruiter was awesome, super communicative and friendly.

Confirmed questions5 questions
  • Can you elaborate on your presentation?
  • Tell us about your knowledge breadth in data science.
  • Tell us about your knowledge breadth in machine learning.

Tapad Data Scientist Interview Questions

Quoted word for word from Tapad interview reports.

Can you answer some technical questions about math and machine learning?

Read reports

We presented a real-world problem from our group; can you propose some potential solutions?

Read report

Can you describe a challenge you encountered in a data science problem and explain how you resolved it?

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Can you tell me about a data science project you worked on recently?

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Formats, difficulty and experience

Across all 7 Tapad interview reports.

Interview formats

Technical 52.9%
Behavioral 23.5%
Coding 17.6%
Presentation 5.9%

Interview difficulty

Easy 14.3%
Average 85.7%
Difficult 0%

Candidate experience

Positive 71.4%
Neutral 14.3%
Negative 14.3%