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Ola Data Scientist Interview Questions
& Process

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

Based on 11 interview experiences · FREE TO READ

2.3 Rounds average
Average Typical difficulty
45.5% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Ola.

Showing 3 of 11
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Ola

Data Science Intern

Analytics · more than a year ago

Intern Average Positive experience Accept offer 4 rounds
Interview process
Take home Technical screen Technical screen Recruiter call
Interview formats
Coding Technical Behavioral

So I applied through Linkedin after seeing a Google form posted by the director of data science at Ola for hiring interns. The process included a test and then three interview rounds. The first two were technical, and the last one was an HR round.

Confirmed questions3 questions
  • Could you tell me about some basic data science concepts?
  • There was one coding question asked.
  • And two data science questions were asked.
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Ola

Data Scientist

Analytics

Mid Average Negative experience No offer 1 round
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding

Only appeared for the first round. The hiring process seems broken. A Bachelor's degree holder with 5 years of experience is interviewing Master's and PhD candidates for two levels below them, expecting 8-10 years of experience. The salary might be high because no one wants to join. The interviewer couldn't justify joining the team. The culture is bad; it's a 6-day work week, and they're forcing people to come to the office during COVID. The Glassdoor rating is already poor, and it felt like the team has the same toxic culture.

Confirmed questions2 questions
  • Tell me about ANOVA.
  • Can you solve a sliding window LeetCode problem?
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Ola

Data Scientist

Analytics

Entry Average Negative experience No offer 4 rounds
Interview process
Recruiter call Take home Technical screen Onsite
Interview formats
Coding Technical Behavioral

Resume screening was the first step. Candidates who passed this moved on to a coding assessment that included basic machine learning problems and competitive programming. Those who cleared the coding test then proceeded to a technical interview. This interview focused heavily on past internships and projects, with some questions about probability and coding.

Confirmed questions4 questions
  • What are some evaluation metrics for a Photo OCR task?
  • Can you explain why batch normalization reduces training time?
  • Find the point of inflection in an almost sorted array.

Ola Data Scientist Interview Questions

Quoted word for word from Ola interview reports.

Can you explain why batch normalization reduces training time?

Read reports

What are some evaluation metrics for a Photo OCR task?

Read report

Can you outline the differences between machine learning algorithms?

Read report

Formats, difficulty and experience

Across all 11 Ola interview reports.

Interview formats

Technical 37.5%
Behavioral 33.3%
Coding 20.8%
Case 8.3%

Interview difficulty

Easy 0%
Average 81.8%
Difficult 18.2%

Candidate experience

Negative 45.5%
Neutral 9.1%
Positive 45.5%