Difficulty
Difficult
Candidate-reported interview insights
AdTheorent Data Scientist interviews, decoded.
Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at AdTheorent.
3.4 rating Advertising & Public Relations
Interview overview
Average rounds
2.9
Average duration
~44 days
Difficulty and candidate experience
Interview difficulty
easy0%
average28.6%
difficult71.4%
Candidate experience
negative28.6%
neutral42.9%
positive28.6%
Candidate-reported interview process
It was six rounds of interviews, covering most data science topics like sql, python, a dp question, and a math problem, plus behavioral questions. Basically, I met everyone on the team. The DP question was a bit odd since it's probably not something you'd use in projects, but it wasn't hard.
I had an initial chat with Talent Acquisition. Then, I was given a coding challenge that covered SQL, Probability, and Python. After that, there were two technical interviews with a senior and a lead Data Scientist.
I applied through a recruiter and my first round was an hour long technical interview with a data scientist. The questions were about physics and probability. I didn't get the job, but they advised me to take a course on algorithms and data structures.
Common AdTheorent Data Scientist interview questions
A focused selection of the most detailed candidate-submitted questions.
- 1
What are the data structures in Python and R and their definitions?
- 2
What is the probability of any shuffle of a card deck?
- 3
Solve random probability and expected value problems
- 4
How do Random Forests improve the overall model?
Interview question formats
Technical42.1%
Coding36.8%
Behavioral10.5%
Case5.3%
Other5.3%
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Interview information is based on candidate reports and may not represent the current official hiring process of AdTheorent.