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Notion Labs Data Scientist Interview Questions
& Process

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

Based on 8 interview experiences · FREE TO READ

3.4 Rounds average
Average Typical difficulty
87.5% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Notion Labs.

Showing 3 of 8
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Notion Labs

Data Scientist

Analytics · a year ago

Mid Average Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical Coding

It started with a standard recruiter call where they asked about my previous projects and my background with SQL and Python. After that, I had an interview with two people from one of the data teams, and it was a really nice and chill vibe. They gave me a dataset and asked me to do some aggregations using pandas. While I was working on it, they also asked me about how I'd deal with different data types and outliers. I didn't get through this round, but it seemed like a cool place to work.

Confirmed questions1 question
  • Could you import a dataset, perform exploratory data analysis, and then use pandas to aggregate values in certain columns?
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Notion Labs

Data Scientist Intern

Analytics · a year ago

Intern Easy Negative experience No offer 3 rounds
Interview process
Take home Technical screen Recruiter call
Interview formats
Coding Case Behavioral

It started with a take-home SQL test, then a live technical case interview, and finished with a hiring manager chat. The whole thing took about a month. Honestly, the process felt pretty biased because the HM got the final say regardless of how well I did in the technical parts, which felt like a waste of time.

Confirmed questions1 question
  • Write a SQL query to determine the churn rate.
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Notion Labs

Data Scientist

Analytics

Senior Average Positive experience No offer 2 rounds
Interview process
Technical screen Onsite
Interview formats
Technical Case Behavioral

First, a technical screen involving SQL and a business case, plus a test on using a scripting language like Python or R. Then, an on-site interview that includes talking with the Hiring Manager, discussing cross-functional collaboration (which depends on the team), diving into a business case, statistics, and experimentation, and finally a chat about your career history with someone outside of Data Science.

Confirmed questions1 question
  • What motivates your interest in joining Notion?

Notion Labs Data Scientist Interview Questions

Quoted word for word from Notion Labs interview reports.

Could you import a dataset, perform exploratory data analysis, and then use pandas to aggregate values in certain columns?

Read reports

Can you describe how you would communicate a technical concept to someone without a technical background?

Read report

Can you describe how you collaborate with stakeholders?

Read report

Formats, difficulty and experience

Across all 8 Notion Labs interview reports.

Interview formats

Technical 33.3%
Behavioral 29.2%
Coding 16.7%
Case 12.5%
Other 4.2%

Interview difficulty

Easy 12.5%
Average 87.5%
Difficult 0%

Candidate experience

Positive 87.5%
Negative 12.5%