Blackcoffer Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 28 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Blackcoffer.
Blackcoffer
Data Scientist
Entry Average Positive experience Accept offer 3 rounds
Interview process
Take home Recruiter call Technical screen
Interview formats
Technical Behavioral
The interview process was pretty smooth. I got a Textual Data Analysis assignment which I completed and submitted the same day. About 3-4 days after submission, HR reached out via email for an interview. The next day, I had my interview with their CTO, where they asked me technical questions and about my past experience, including how I approached the assignment. I answered honestly and got positive feedback.
Confirmed questions3 questions
- Tell me about your previous work experience.
- What do you know about Python, its libraries, and the Django and Flask frameworks?
- What are your programming skills?
Blackcoffer
Data Scientist
Intern Easy Negative experience No offer 1 round
Interview process
Take home
Interview formats
Technical
The hiring process involved a straightforward assignment where the main task was to extract textual data articles from a provided URL and then conduct text analysis to calculate specific variables detailed in a document. However, after submitting the assignment, there was no follow-up from the company, despite multiple attempts to contact them via messages and emails. I initially applied through Internshala, but they also couldn't offer any assistance. I'd strongly advise avoiding this company to prevent wasting your time.
Confirmed questions1 question
- Complete and submit the given assignment by the deadline.
Blackcoffer
Data Scientist
Mid Average Positive experience Accept offer 2 rounds
Interview process
Take home Technical screen
Interview formats
Technical Presentation
The interview process was pretty simple and easy to manage. First, I had to do an assignment related to a Data Science project, which was a good way to see if I could use my practical knowledge in actual situations. This assignment needed me to show skills in data manipulation, analysis, and maybe some machine learning. After I finished and sent in the assignment, I got an interview. It was a good chance to talk about how I tackled the assignment, explain my thinking, and point out the methods I used. The interview also helped the hiring team check out my problem-solving skills more, to make sure I could clearly talk about my tech skills and work with others. All in all, the process went well, and I liked that the assignment let me show what I could do before the interview.
Confirmed questions1 question
- Can you walk me through the steps you took to complete the assignment?
Blackcoffer Data Scientist Interview Questions
Quoted word for word from Blackcoffer interview reports.
“How did you create a positive words dictionary?”
Read reports →“Do you have experience with FastAPI?”
Read reports →“What do you know about Python, its libraries, and the Django and Flask frameworks?”
Read reports →“Can you explain your approach to the given pandas task?”
Read reports →“For this internship, would you prefer to work remotely or in person?”
Read report →“Do you have experience with Flask?”
Read report →“Could you tell me about your NLP project that involved Sentimental Analysis?”
Read report →“Do you have experience with Rest API?”
Read report →“Could you describe how you approached the natural language processing project assignment?”
Read report →Formats, difficulty and experience
Across all 28 Blackcoffer interview reports.