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Landmark Group Data Scientist Interview Questions and Answers

Updated 3 Jan 2025

Landmark Group Data Scientist Interview Experiences

1 interview found

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

I applied via LinkedIn and was interviewed before Jan 2024. There were 4 interview rounds.

Round 1 - Case Study 

Case Study was related to customer propensity to buy.

Round 2 - Technical 

(2 Questions)

  • Q1. Linear Regression Assumptions
  • Q2. ML Algorithms and Evaluation Metrics.
Round 3 - One-on-one 

(1 Question)

  • Q1. What is VIF(variance inflation factor)
Round 4 - HR 

(1 Question)

  • Q1. Why do you want to join?

Interview Preparation Tips

Interview preparation tips for other job seekers - Intermediate knowledge of ML algos and evaluation metrics is must. Python and SQL hand-on is required.

Interview questions from similar companies

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Array-based question

Round 2 - Technical 

(2 Questions)

  • Q1. Explain Xgboots
  • Ans. 

    XGBoost is a popular machine learning algorithm known for its speed and performance in handling large datasets.

    • XGBoost stands for eXtreme Gradient Boosting.

    • It is an implementation of gradient boosted decision trees designed for speed and performance.

    • XGBoost is widely used in machine learning competitions and real-world applications.

    • It can handle missing data, regularization, and parallel processing efficiently.

    • XGBoost ...

  • Answered by AI
  • Q2. Explain random forest
  • Ans. 

    Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.

    • Random forest is a type of ensemble learning method.

    • It builds multiple decision trees during training.

    • Each tree in the forest makes a prediction, and the final prediction is the average or majority vote of all trees.

    • Random forest is used for classification and regression tasks.

    • It helps reduce overfitting and ...

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Explain about your project
  • Q2. Explain the sequence to sequence models and transformers
  • Ans. 

    Sequence to sequence models are used in natural language processing to convert input sequences into output sequences.

    • Sequence to sequence models are commonly used in machine translation tasks, where the input is a sentence in one language and the output is the translated sentence in another language.

    • Transformers are a type of sequence to sequence model that use self-attention mechanisms to weigh the importance of diffe...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

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

Round 1 - Technical 

(2 Questions)

  • Q1. Bias and variance with respect to model
  • Ans. 

    Bias and variance are two types of errors that can occur in a model.

    • Bias refers to the error introduced by approximating a real-world problem, leading to underfitting.

    • Variance refers to the error introduced by modeling the noise in the training data, leading to overfitting.

    • Balancing bias and variance is crucial for creating a model that generalizes well to unseen data.

  • Answered by AI
  • Q2. Hypotheses test

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How to reduce model inference latency
  • Ans. 

    To reduce model inference latency, optimize model architecture, use efficient algorithms, batch processing, and deploy on high-performance hardware.

    • Optimize model architecture by reducing complexity and removing unnecessary layers

    • Use efficient algorithms like XGBoost or LightGBM for faster predictions

    • Implement batch processing to make predictions in bulk rather than one at a time

    • Deploy the model on high-performance har

  • Answered by AI
  • Q2. Different sql joins and their difference
  • Ans. 

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

    • INNER JOIN: Returns rows when there is at least one match in both tables.

    • LEFT JOIN: Returns all rows from the left table and the matched rows from the right table.

    • RIGHT JOIN: Returns all rows from the right table and the matched rows from the left table.

    • FULL JOIN: Returns rows when there is a match in one of the tables.

    • SEL

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Intermediate level SQL questions using joins and case when
  • Q2. String manipulation advanced level question in python
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Job Portal

Round 1 - Coding Test 

A/B Testing, data structures

Interview Preparation Tips

Interview preparation tips for other job seekers - Study a/b testing

Data Scientist Interview Questions & Answers

Target user image Aishwarya Shukla

posted on 8 Jun 2024

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Past experience
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

3 Leet code mediums in 30 mins.

Round 2 - Technical 

(3 Questions)

  • Q1. 5 ML questions in 10 mins
  • Q2. 5 Stats question in 10 mins
  • Q3. 3 LC mediums in 30 minutes
  • Ans. 

    LC mediums refer to LeetCode mediums, which are medium difficulty coding problems on the LeetCode platform.

    • LC mediums are coding problems with medium difficulty level on LeetCode platform.

    • Solving 3 LC mediums in 30 minutes requires good problem-solving skills and efficient coding techniques.

    • Examples of LC mediums include 'Longest Substring Without Repeating Characters' and 'Container With Most Water'.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Pray
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Oct 2023. There were 3 interview rounds.

Round 1 - HR 

(1 Question)

  • Q1. Why do you want to leave your current job?
Round 2 - Coding Test 

SQL coding question. Medium level

Round 3 - Case Study 

Explain my project and then case study regarding launching new apps

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

I applied via LinkedIn and was interviewed before May 2023. There were 4 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. Linear regression
  • Q2. Probability related questions
  • Q3. Sampling and AB testing
Round 2 - Technical 

(2 Questions)

  • Q1. Backpropagation in neural network
  • Ans. 

    Backpropagation is a method used to train neural networks by adjusting the weights based on the error in the output.

    • Backpropagation involves calculating the gradient of the loss function with respect to the weights of the network.

    • The gradient is then used to update the weights in the opposite direction to minimize the error.

    • This process is repeated iteratively until the network converges to a solution.

    • Backpropagation i...

  • Answered by AI
  • Q2. Clustering (k-means, DB scan)
Round 3 - Coding Test 

1 question on array (sorting related), 1 question on string (hard problem)

Round 4 - Behavioral 

(1 Question)

  • Q1. Behavioral questions

Landmark Group Interview FAQs

How many rounds are there in Landmark Group Data Scientist interview?
Landmark Group interview process usually has 4 rounds. The most common rounds in the Landmark Group interview process are Case Study, Technical and One-on-one Round.
What are the top questions asked in Landmark Group Data Scientist interview?

Some of the top questions asked at the Landmark Group Data Scientist interview -

  1. What is VIF(variance inflation fact...read more
  2. Linear Regression Assumpti...read more
  3. ML Algorithms and Evaluation Metri...read more

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