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Candidate-reported interview insights

Ancestry Data Scientist interviews, decoded.

Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at Ancestry.

3.5 rating Internet & Web Services

Interview overview

Difficulty

Average

Average rounds

2.5

Average duration

~44 days

Difficulty and candidate experience

Interview difficulty

easy26.7%
average73.3%
difficult0%

Candidate experience

positive80%
neutral6.7%
negative13.3%

Candidate-reported interview process

So the process had two phone interviews that happened pretty close together, like within a week. The first one, I had to solve a programming question. The very next day, they had me schedule the second interview, which was all about my machine learning knowledge. Then, about 15-20 days later, I got the call with the offer, and I took it.

Had a quick interview process and got a response in less than a week. The first step was a 30-minute HR phone screening. Then, a 30-minute video interview for coding on HackerRank. The third interview was a 30-minute video call focused on Machine Learning.

Had a video interview where I was asked to calculate precision, recall, and f1-score for a scenario. Also, they asked about different ML models for a hypothetical question, like which regression models to use and their pros and cons. Need to know tree-based models well.

Common Ancestry Data Scientist interview questions

A focused selection of the most detailed candidate-submitted questions.

  1. 1

    How do you handle imbalanced data?

  2. 2

    Why do you want to change jobs?

  3. 3

    Describe ensemble learning.

  4. 4

    Explain tree-based models.

Interview question formats

Technical36.4%
Coding33.3%
Behavioral27.3%
System Design3%

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Interview information is based on candidate reports and may not represent the current official hiring process of Ancestry.