causaLens Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 45 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at causaLens.
causaLens
Data Scientist
Lead Average Positive experience No offer 4 rounds
Interview process
Technical screen Take home Recruiter call Background check
Interview formats
Technical Coding
I had a first technical interview, then saw the technical project. Didn't have time to complete it because of work, and wasn't that excited by the probable offer, so I just left it there. I think there would've been a follow-up call, followed probably by more of a culture fit interview. The first interviewer was very decent, had a good discussion, and seemed very reasonable and considerate.
Confirmed questions2 questions
- Practical ML questions
- Stats questions
causaLens
Data Scientist
Senior Average Negative experience No offer 5 rounds
Interview process
Recruiter call Technical screen Take home Onsite Panel Presentation Background check Offer
Interview formats
Technical Coding Behavioral Presentation
The interview process was surprisingly terrible, with the company rescinding a 4th round invitation just a day before, after I had already taken time off work. The reasons given were vague and contradictory, including salary expectations, lack of specific experience, or the role no longer existing. All this information was present in my application, suggesting a CV screening failure. This wasted my time on preliminary interviews and a lengthy technical assessment over several weeks. There was also a lack of transparency regarding the process, such as the total number of rounds (estimated at 5) and the identities of decision-makers. The significant time commitment for some interviews, especially for a company of its size and stage, seemed unwarranted.
Confirmed questions5 questions
- 1st round 1:1
- 2nd round technical interview
- 3rd round 3-hr technical assessment
causaLens
Data Scientist
Entry Average Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Coding
I echo what other candidates are writing: Awful process. Starting with a completely impersonal questionnaire with questions such as “Why you applied”, “Why this business function” or “Name 3 things you would want to be true about your career 3 years from now”, and others of the kind, which is not bad, it’s just bad to ask it in a questionnaire, impersonal and snob. Assuming you have 10min to make up some cheesy answers to cheesy questions, you move to round two, which as others have said, it is a timed python test. Not difficult, but quite tricky to get everything in time, irrespective of python skills! Still, impersonal and snob having to do it on a hackerank style. Such a big waste of time, really.
Confirmed questions7 questions
- Name 3 things you would want to be true about your career in 3 years from now.
- When did you write your first line of code?
- What is your current base salary?
causaLens Data Scientist Interview Questions
Quoted word for word from causaLens interview reports.
“How would you calculate the variance of a given function?”
Read reports →“Can you explain the low-level workings of Python's memory management?”
Read reports →“Can you implement a linear regression model using a time series dataset?”
Read reports →“Can you explain the workings of the kernel trick?”
Read reports →“Can you implement Grid Search using the provided code snippet?”
Read report →“Could you explain overfitting and the methods to address it?”
Read report →“What do you know about how Python functions under the hood?”
Read report →“How would you perform cross validation and what is the reason for it?”
Read report →“Could you perform basic data exploration on a given time series dataset?”
Read report →Formats, difficulty and experience
Across all 45 causaLens interview reports.