Upload Button Icon Add office photos
Engaged Employer

i

This company page is being actively managed by ShareChat Team. If you also belong to the team, you can get access from here

ShareChat Verified Tick

Compare button icon Compare button icon Compare

Filter interviews by

ShareChat Senior Data Scientist Interview Questions and Answers

Updated 22 Nov 2021

ShareChat Senior Data Scientist Interview Experiences

1 interview found

I applied via LinkedIn and was interviewed in May 2021. There were 4 interview rounds.

Interview Questionnaire 

6 Questions

  • Q1. Machine Learning questions, graphs were not asked
  • Q2. Deep Learning
  • Q3. Machine Learning
  • Q4. Core ML Principle, CV
  • Q5. MLP
  • Q6. Recommendation Systems

Interview Preparation Tips

What is your professional and academic background?At the time of the interview, I had 1 - 3 years of experience.ShareChat interview Rounds:Round 1
Round type - Coding
Round duration - 45mins
Round description -
Coding question were asked

Round 2
Round type - Machine Learning
Round duration - 45mins

Round 3
Round type - Technical
ShareChat interview Preparation:What resources did you refer to prepare for the interview? - As many books/resources on the internet because the topic is very vast. Do not refer to only one resource.What tips would you give to other job seekers? - Machine Learning matters a lot here, coding is very easy. You have to be well versed with ML. ML round of ShareChat was the most difficult round I have encountered.What was the final outcome of your interview?Selected

Interview questions from similar companies

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-

I applied via Job Portal

Round 1 - Coding Test 

SQL and Python data analysis questions

Round 2 - Technical 

(1 Question)

  • Q1. How do you match the data in different columns.
  • Ans. 

    Matching data in different columns involves comparing the values in the columns and identifying similarities or patterns.

    • Use string matching techniques like exact match, partial match, or fuzzy matching.

    • Apply data cleaning and preprocessing techniques to standardize the data before matching.

    • Utilize advanced algorithms like Levenshtein distance or Jaccard similarity for more complex matching.

    • Consider using database join...

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Template and Reactive Forms in Angular
  • Ans. 

    Template and Reactive Forms in Angular are two ways to handle forms in Angular applications.

    • Template Forms are based on the traditional HTML forms and are easy to use for simple forms.

    • Reactive Forms are more flexible and powerful, allowing for complex form validation and dynamic form controls.

    • Template Forms use two-way data binding, while Reactive Forms use a more reactive approach with observables.

    • Reactive Forms are r...

  • Answered by AI

Skills evaluated in this interview

Interview Questionnaire 

2 Questions

  • Q1. Explain Normal distribution
  • Ans. 

    Normal distribution is a probability distribution that is symmetric and bell-shaped.

    • It is also known as Gaussian distribution.

    • It is characterized by mean and standard deviation.

    • Many natural phenomena follow normal distribution, such as height and weight of individuals.

    • 68% of the data falls within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations.

    • It is wid...

  • Answered by AI
  • Q2. Types of jobs in sql
  • Ans. 

    SQL jobs include database administrator, data analyst, data scientist, business intelligence analyst, and software developer.

    • Database Administrator

    • Data Analyst

    • Data Scientist

    • Business Intelligence Analyst

    • Software Developer

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare for MySql thoroughly

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. SQL base Question
  • Q2. About your projects
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - Technical 

(4 Questions)

  • Q1. What is event loop, how it works.
  • Ans. 

    Event loop is a mechanism in programming that allows for asynchronous execution of code by continuously checking for and handling events.

    • Event loop is commonly used in JavaScript to handle asynchronous operations like setTimeout, setInterval, and AJAX requests.

    • It works by continuously checking the event queue for any pending events, executing them one by one, and then moving on to the next event.

    • Event loop helps in pre...

  • Answered by AI
  • Q2. Micro task queue and macro task queue.
  • Q3. Is node.js single threaded or multi-threaded, also discuss threadpool and it's usages.
  • Q4. Tell the order of output, among process, promise, setTimeout, fs, setInterval.
  • Ans. 

    The order of output is fs, process, setTimeout, setInterval, promise.

    • fs module is synchronous and will output first

    • process is next in line

    • setTimeout will be executed after process

    • setInterval will be executed after setTimeout

    • promise will be executed last

  • Answered by AI
Round 2 - Technical 

(4 Questions)

  • Q1. JavaScript usages compiler or interpreter.
  • Ans. 

    JavaScript is an interpreted language.

    • JavaScript is an interpreted language, meaning it is executed line by line at runtime.

    • There is no separate compilation step in JavaScript like in languages that use compilers.

    • Examples of interpreted languages include Python, Ruby, and PHP.

  • Answered by AI
  • Q2. Tell the output among various for loops using var, let and bind.
  • Ans. 

    Output comparison of for loops using var, let, and bind in JavaScript.

    • Using var: variable is function-scoped, may lead to unexpected behavior in loops.

    • Using let: variable is block-scoped, recommended for loop iterations.

    • Using bind: creates a new function with a specified 'this' value and initial arguments.

  • Answered by AI
  • Q3. A medium level dsa question on array, solved it using pre-sum.
  • Q4. Situation based question, on how to pick a suitable database.
Round 3 - Technical 

(4 Questions)

  • Q1. What do you do on daily basis, and how to decide a tech-stack on high level.
  • Ans. 

    I work on coding, debugging, testing, and collaborating with team members. Tech stack decisions are based on project requirements, scalability, performance, and team expertise.

    • Daily tasks include coding, debugging, testing, and collaborating with team members

    • Tech stack decisions are based on project requirements, scalability, performance, and team expertise

    • Consider factors like language compatibility, libraries/framewo...

  • Answered by AI
  • Q2. Design an online scalable, real-time document sharing application like google docs.
  • Ans. 

    Design a scalable, real-time document sharing app like Google Docs.

    • Use websockets for real-time collaboration

    • Implement version control to track changes

    • Utilize a distributed database for scalability

    • Include user authentication and access control

    • Support offline editing with automatic sync

  • Answered by AI
  • Q3. How to handle images also in the future.
  • Ans. 

    Utilize cloud storage for scalability, implement image compression techniques, and regularly update image processing libraries.

    • Utilize cloud storage for scalability

    • Implement image compression techniques

    • Regularly update image processing libraries

  • Answered by AI
  • Q4. Any other way to solve the problem, of high I/O on same document to overcome throughput and conflicts.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Fair

Round 1 - Technical 

(1 Question)

  • Q1. Create a controller , service and repository methods and classes to save userDeatils in table using Spring Data JPA .
  • Ans. 

    Create a controller, service, and repository to save user details using Spring Data JPA.

    • Create a UserController class with appropriate mappings for saving user details.

    • Create a UserService class with a method to save user details.

    • Create a UserRepository interface that extends JpaRepository to handle database operations.

    • Implement the saveUserDetails method in the UserService class to call the save method of the UserRepo...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Digit Insurance Senior Software Engineer interview:
  • Sping Boot
  • Rest Full Api
  • Spring Data JPA
Interview preparation tips for other job seekers - Just prepare top 50 spring boot question and you can easily crack interview .

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Nov 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Questions from arrays and strings and some aptitude questions

Round 2 - One-on-one 

(2 Questions)

  • Q1. How to merge 2 csv files
  • Ans. 

    To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.

    • Open both CSV files in a software like Microsoft Excel.

    • Copy the data from one CSV file and paste it into the other CSV file.

    • Save the merged CSV file with a new name.

    • Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.

  • Answered by AI
  • Q2. Basic questions on arrays
Round 3 - HR 

(1 Question)

  • Q1. 3 reasons why u choose this company
  • Ans. 

    I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.

    • Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.

    • Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.

    • Company culture - I value a positive work environment and the...

  • Answered by AI
Round 4 - Technical 

(1 Question)

  • Q1. Questions on python

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Coding Test 

Questions were crayon box ,the bot and the game and happy neighbourhood for 90 mins

Round 2 - Technical 

(2 Questions)

  • Q1. Array basics was asked
  • Q2. Segment tree,prefix sum
Round 3 - Technical 

(1 Question)

  • Q1. Low level design was asked
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

I applied via Referral and was interviewed before Sep 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Quant, LR, puzzles, cat based level 2 questions

Round 2 - Technical 

(2 Questions)

  • Q1. Difference between tuple nd list
  • Ans. 

    Tuple is immutable and ordered, while list is mutable and ordered in Python.

    • Tuple is created using parentheses () while list is created using square brackets []

    • Tuple elements cannot be changed once assigned, while list elements can be modified

    • Tuple is faster than list for iteration and accessing elements

    • Example: tuple = (1, 2, 3) and list = [1, 2, 3]

  • Answered by AI
  • Q2. How will you cut a cake into 8 equal pieces by 3 cuts
Round 3 - HR 

(2 Questions)

  • Q1. Walk me through ur cv
  • Ans. 

    I have a strong background in data analysis with experience in various industries.

    • Bachelor's degree in Statistics with a focus on data analysis

    • Proficient in SQL, Python, and data visualization tools like Tableau

    • Experience working with large datasets and conducting statistical analysis

    • Completed internships at XYZ Company and ABC Organization

    • Presented findings at industry conferences

  • Answered by AI
  • Q2. What have learnt from this experience?
  • Ans. 

    I have learned to effectively analyze and interpret data to derive meaningful insights and make informed decisions.

    • Developed strong analytical skills through hands-on experience with various data analysis tools and techniques

    • Improved ability to identify trends, patterns, and outliers in data sets

    • Enhanced communication skills by presenting findings and recommendations to stakeholders

    • Learned to collaborate with team memb

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - just be honest , calm

Skills evaluated in this interview

ShareChat Interview FAQs

What are the top questions asked in ShareChat Senior Data Scientist interview?

Some of the top questions asked at the ShareChat Senior Data Scientist interview -

  1. Machine Learning questions, graphs were not as...read more
  2. Recommendation Syst...read more
  3. Core ML Principle,...read more

Tell us how to improve this page.

Interview Questions from Similar Companies

Swiggy Interview Questions
3.8
 • 436 Interviews
CARS24 Interview Questions
3.5
 • 337 Interviews
Udaan Interview Questions
3.9
 • 337 Interviews
Meesho Interview Questions
3.7
 • 335 Interviews
BlackBuck Interview Questions
3.8
 • 180 Interviews
Tata 1mg Interview Questions
3.6
 • 153 Interviews
Digit Insurance Interview Questions
3.9
 • 146 Interviews
Paisabazaar.com Interview Questions
3.4
 • 142 Interviews
Urban Company Interview Questions
3.4
 • 136 Interviews
Ninjacart Interview Questions
3.9
 • 96 Interviews
View all
ShareChat Senior Data Scientist Salary
based on 5 salaries
₹30 L/yr - ₹42 L/yr
31% more than the average Senior Data Scientist Salary in India
View more details
Senior Associate Operations
138 salaries
unlock blur

₹4 L/yr - ₹9 L/yr

Operations Associate
125 salaries
unlock blur

₹3.5 L/yr - ₹6.1 L/yr

Lead Operator
87 salaries
unlock blur

₹6 L/yr - ₹12.7 L/yr

Territory Sales Manager
68 salaries
unlock blur

₹4 L/yr - ₹8.8 L/yr

Associate Product Manager
62 salaries
unlock blur

₹14.5 L/yr - ₹41 L/yr

Explore more salaries
Compare ShareChat with

Udaan

3.9
Compare

Swiggy

3.8
Compare

CARS24

3.5
Compare

BlackBuck

3.8
Compare
Did you find this page helpful?
Yes No
write
Share an Interview