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comScore Statistical Analyst Interview Questions and Answers

Updated 16 Dec 2020

comScore Statistical Analyst Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed in Jun 2020. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. 1. Many SQL queries starting from simple to complex queries. If you are familiar enough with joins, subqueries and conditional statements you will be good to go.
  • Q2. 2. Questions based on my past experiences and a short data based excel questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - The interview was taken by two persons one by one and it was neither easy nor tough. If you are strong in sql, excel and any other data analytic tool you will be good. Few guesstimation questions were also asked in the interview.

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.

Round 1 - Assignment 

Basic self evaluation test.

Round 2 - Technical 

(3 Questions)

  • Q1. What project I have completed and follow-up questions on that?
  • Q2. How to handle class imbalance.
  • Ans. 

    Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.

    • Use resampling techniques like oversampling or undersampling to balance the classes.

    • Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.

    • Adjust class weights in the model to give more importance to minority class.

    • Use evaluation metrics like F1 score, precision, r...

  • Answered by AI
  • Q3. Basic Python coding questions.
Round 3 - Technical 

(2 Questions)

  • Q1. Data-related questions.
  • Q2. ML Ops questions.

Interview Preparation Tips

Topics to prepare for Amdocs Data Scientist interview:
  • Python
  • MLOPS
Interview preparation tips for other job seekers - Prepare your projects well. And be ready for basic python coding questions. Prepare MlOps roles as well.
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Oct 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Question about Googlyness
  • Q2. Question about Google Lens, a RCA question

Interview Preparation Tips

Topics to prepare for Google Senior Data Analyst interview:
  • Root Cause Analysis
  • Guesstimates
  • Leadership
Interview preparation tips for other job seekers - Research about Google's core values and principles.

Learn how to do a RCA and a Guesstimate.

Learn how to answer in STAR method.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. About projects and then questions related to ML and DL. Mostly focused on DL part
  • Q2. What is the difference between Adam optimizer and Gradient Descent Optimizer?
  • Ans. 

    Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.

    • Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.

    • Adam optimizer uses adaptive learning rates for each parameter.

    • Gradient Descent optimizer has a fixed learning rate for all parameters.

    • Adam optimizer includes momentum to speed up convergence.

    • Gradient Descent optimizer updates parameters b...

  • Answered by AI
  • Q3. When to use Relu and when not?
  • Ans. 

    Use ReLU for hidden layers in deep neural networks, avoid for output layers.

    • ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.

    • Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.

    • Consider using Leaky ReLU or Sigmoid for output layers depending on the task.

    • ReLU is computationally efficient and helps in preventing the vanishing gradient prob...

  • Answered by AI

Skills evaluated in this interview

Data Scientist Interview Questions & Answers

Chetu user image Abhilasha Dimble

posted on 22 Feb 2024

Interview experience
1
Bad
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Asked about projects. What is classification? Is knn used for regression?how? decision tree working for regression and classification Is naive Bayes used for regression?how? LLM Docker Aws GenAI Code for ...

Interview Preparation Tips

Interview preparation tips for other job seekers - Guys, interviewer is really wierd...very rude...
Starts interview with lots of questions..
He interrupts me in every question's answer.. doesn't even ready listen my answers ...
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Do you know power BI
  • Q2. Yes. I know PowerBI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Sql and python questions were there with basic logic check

Round 2 - HR 

(2 Questions)

  • Q1. Python code with funticion
  • Ans. 

    Python code with function

    • Define a function using 'def' keyword

    • Include parameters inside parentheses

    • Use 'return' statement to return a value from the function

  • Answered by AI
  • Q2. Sql with case statwment

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. How can Logistic regression be applied for multiclasstext classification
  • Ans. 

    Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.

    • One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.

    • Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.

    • Evaluate the model using appropriate...

  • Answered by AI

Skills evaluated in this interview

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

I applied via Campus Placement and was interviewed before Jul 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Aptitute,technical mcqs

Round 2 - Technical 

(2 Questions)

  • Q1. Coding question
  • Q2. Oops concept,dbms,sql
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jun 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Why are you changing the company
  • Q2. What are the skills you are looking for
Round 2 - Technical 

(2 Questions)

  • Q1. What is distinct in SQL?
  • Ans. 

    DISTINCT is used in SQL to retrieve unique values from a column or set of columns.

    • DISTINCT eliminates duplicate rows from the result set

    • It is often used in SELECT statements to only return unique values

    • Example: SELECT DISTINCT column_name FROM table_name

  • Answered by AI
  • Q2. What are joins in SQL
  • Ans. 

    Joins in SQL are used to combine rows from two or more tables based on a related column between them.

    • Joins are used to retrieve data from multiple tables based on a related column

    • Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN

    • Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column

  • Answered by AI

Skills evaluated in this interview

comScore Interview FAQs

How to prepare for comScore Statistical Analyst 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 comScore. The most common topics and skills that interviewers at comScore expect are Analytics, Communication Skills, Data Analysis, Data Science and Excel.
What are the top questions asked in comScore Statistical Analyst interview?

Some of the top questions asked at the comScore Statistical Analyst interview -

  1. 1. Many SQL queries starting from simple to complex queries. If you are familia...read more
  2. 2. Questions based on my past experiences and a short data based excel question...read more

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comScore Statistical Analyst Salary
based on 4 salaries
₹14 L/yr - ₹16.5 L/yr
67% more than the average Statistical Analyst Salary in India
View more details

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based on 2 reviews

1.9/5

Rating in categories

1.6

Skill development

2.2

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2.2

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2.2

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2.2

Company culture

1.9

Promotions

1.6

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