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Simpplr Data Scientist Interview Questions and Answers

Updated 6 May 2024

Simpplr Data Scientist Interview Experiences

3 interviews found

Interview experience
1
Bad
Difficulty level
Easy
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. Asked everything in hurry with arrogance and rudeness. He didn't even let me finish or listen to answers.
  • Q2. Related to NLP Projects, CV, NLP basis and HR related irrelevant questions
  • Q3. Activations, Bias Variance, Linear Regression, Logistic Regression, LLM

Interview Preparation Tips

Interview preparation tips for other job seekers - Very Rude and Arrogant Interviewer.
Instant regret why I applied for this job.
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
-
Result
Not Selected

I applied via Referral and was interviewed in Nov 2023. There were 2 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. General Question Related to your resume. Projects and Expected CTC etc.
Round 2 - One-on-one 

(1 Question)

  • Q1. This is the worst Interview I have faced interview. He was asking not actually interesting to ask good questions just asking what I have learnt. It was very bad and degreeding me and asking questions apart...

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I applied via Naukri.com and was interviewed in Feb 2022. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Basic questions about experience with the HR
  • Q2. Discussion on what the company does and all
Round 2 - Technical 

(3 Questions)

  • Q1. Questions related to ML algorithms and evaluation metrics
  • Q2. Questions on model quantization and pruning
  • Q3. NLP-based use case scenario questions

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Brush up on basic ML concepts
2. Have a research-oriented mindset to answer the NLP-based use case questions

Interview questions from similar companies

Data Scientist Interview Questions & Answers

LTIMindtree user image Abhishek Srivastav

posted on 16 Mar 2015

Interview Questionnaire 

3 Questions

  • Q1. Code For parse Traingle
  • Ans. 

    Code for parsing a triangle

    • Use a loop to iterate through each line of the triangle

    • Split each line into an array of numbers

    • Store the parsed numbers in a 2D array or a list of lists

  • Answered by AI
  • Q2. Asci value along with alphabets(both capital and small)
  • Ans. 

    The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.

    • ASCII values range from 65 to 90 for capital letters A to Z.

    • ASCII values range from 97 to 122 for small letters a to z.

    • For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.

  • Answered by AI
  • Q3. Would you like to go for Hire studies

Interview Preparation Tips

Round: Test
Experience: First round was through Elitmus.
If you want to be in IT industry must appear it atleast once, for core also u can try it.
It's usually a tough exam but if u are good in maths , apti you will crack it.
Tips: Focus more on Reasoning part. this is the most difficult part.
practise paragraphs reading and solving(Average level)(Infosys level or less)
If you need any kind of help you can contact me via email or can even ring me.
I would recomend everybody to appear this exam with minimum of one month dedicated preparation
Duration: 120 minutes
Total Questions: 60

Round: Coding Round on their own plateform
Experience: It was little difficult to write codes on some other plateform. But time was enough to cope up.
Tips: Try writing as many programs you can write in C, C++ and JAVA not on paper, on compiler . while giving this exam you can select any of these three languages. Based on that your technical Interview will be taken.

Round: Technical Interview
Experience: Its easy one if you have hands on on programing
Tips: Explore and explore .

Round: HR Interview
Experience: Most difficult round for me(I feel myself a little weak in English). But stay calm. And be cheerful.
I still don't know the exact answer of the question but conversation gone for about 20 minutes on this topic.
He din't seem satisfied with me. Btw most of the people says to say no. You can take your call according to the situation.
Tips: Stay calm. Have as much Knowledge about the organisation. Try to make your Intro as much interesting as possible with achivements, hobbies etc. Ya English plays most important role here.

General Tips: Always have faith in yourself. And remember Everything happens for some good reason
Skill Tips: Dont go deep in OS, DBMS but have rough idea about all the topics
Skills: C, C++, DATA STRUCTURE, DBMS, OS
College Name: GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY
Motivation: I wanted a job. :)
Funny Moments: A number of stories are there related to this job.
One is I already had an offer so I booked my ticket to home from Bangalore But at very last moment my father told me that you should never miss any chance, go for it. I went and interview date was postponded due to some reasons. I got a mail at 10:30 pm saying I have to attend interview next day morning at 8:30 pm. I ran to get printout of that mail. The venue was 3 hour journey from my place so I din't sleep for the whole night because i knew that if I ll sleep, I would not be able to wake up But I din't studied also because it would have lead to sleep. And Without having sleep and last moment study I made it.

Skills evaluated in this interview

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.

I applied via Recruitment Consultant and was interviewed in Mar 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Explain about your projects

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer was looking for Data science experience in infrastructure that is building a solution for remedy ticket
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is overfitting in machine learning?
  • Ans. 

    Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor performance on unseen data as the model fails to generalize well.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • ...

  • Answered by AI
  • Q2. Overfitting accurs when a model learns the details.......etc
  • Ans. 

    Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor generalization and high accuracy on training data but low accuracy on new data.

    • Techniques to prevent overfitting include cross-validation, regularization, and...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Research the company before interview.
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. What kind of project you worked
  • Ans. 

    I have worked on projects involving predictive modeling, natural language processing, and computer vision.

    • Predictive modeling: Developed machine learning models to predict customer churn for a telecom company.

    • Natural language processing: Built a sentiment analysis tool to analyze customer reviews for a retail company.

    • Computer vision: Implemented a facial recognition system for access control in a secure facility.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Interviewer not in mood of listen. When he asked question he didn't even wait for answer and ask another question. Some kind of confused person I guess.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Python coding questions followed by machine learning , deep learning algorithms
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Simpplr Interview FAQs

How many rounds are there in Simpplr Data Scientist interview?
Simpplr interview process usually has 1-2 rounds. The most common rounds in the Simpplr interview process are One-on-one Round, Technical and HR.
How to prepare for Simpplr Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Simpplr. The most common topics and skills that interviewers at Simpplr expect are Algorithms, Artificial Intelligence, Deep Learning, Django and Flask.
What are the top questions asked in Simpplr Data Scientist interview?

Some of the top questions asked at the Simpplr Data Scientist interview -

  1. This is the worst Interview I have faced interview. He was asking not actually ...read more
  2. Asked everything in hurry with arrogance and rudeness. He didn't even let me fi...read more
  3. questions related to ML algorithms and evaluation metr...read more

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Simpplr Data Scientist Interview Process

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