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GrowthJockey Data Scientist Interview Questions and Answers

Updated 9 Oct 2024

GrowthJockey Data Scientist Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. How does K-Means Work
  • Ans. 

    K-Means is a clustering algorithm that partitions data into K clusters based on similarity.

    • Initializes K centroids randomly

    • Assigns each data point to the nearest centroid

    • Calculates new centroids based on the mean of data points in each cluster

    • Repeats until centroids no longer change or a specified number of iterations is reached

  • Answered by AI
  • Q2. Mathematics behind image classification in neural networks
  • Ans. 

    Image classification in neural networks involves using mathematical algorithms to analyze and categorize images.

    • Neural networks use mathematical functions to process pixel values and extract features from images.

    • Common mathematical techniques include convolutional layers, activation functions, and loss functions.

    • Examples of image classification tasks include identifying objects in photos, detecting diseases in medical

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Which job gives me do that work because of this job very important to me

Interview Preparation Tips

Interview preparation tips for other job seekers - No adive

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 Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Nothing much technical

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Go in formals
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about

Interview Questionnaire 

1 Question

  • Q1. Basic ML

Interview Questionnaire 

1 Question

  • Q1. Describe the project , EDA
  • Ans. 

    The project involved exploratory data analysis (EDA) to gain insights and identify patterns in the data.

    • Performed data cleaning and preprocessing

    • Visualized data using various charts and graphs

    • Identified correlations and relationships between variables

    • Used statistical methods to analyze data

    • Generated hypotheses for further analysis

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Depends on the interviewer

Skills evaluated in this interview

Round 1 - Technical 

(4 Questions)

  • Q1. 2 round technical interview, both of them about ML and last one concerning statistics and ML.
  • Q2. What is linear regression?
  • Ans. 

    Linear regression is a statistical method to model the relationship between a dependent variable and one or more independent variables.

    • It assumes a linear relationship between the variables

    • It is used to predict the value of the dependent variable based on the independent variable(s)

    • It can be simple linear regression (one independent variable) or multiple linear regression (more than one independent variable)

    • It is commo...

  • Answered by AI
  • Q3. Question regarding confusion matrix?
  • Q4. Name various ML algorithm?
  • Ans. 

    ML algorithms are used to train models on data to make predictions or decisions. Some popular ones are SVM, KNN, and Random Forest.

    • Support Vector Machines (SVM)

    • K-Nearest Neighbors (KNN)

    • Random Forest

    • Naive Bayes

    • Decision Trees

    • Linear Regression

    • Logistic Regression

    • Neural Networks

    • Gradient Boosting

    • Clustering Algorithms (K-Means, Hierarchical)

    • Association Rule Learning (Apriori)

    • Dimensionality Reduction Algorithms (PCA, LDA)

    • Reinf

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Know machine learning and statistics.
Know basics is enough, not need sequenced models

Skills evaluated in this interview

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

(2 Questions)

  • Q1. What is overfitting and underfitting
  • Ans. 

    Overfitting occurs when a model learns the training data too well, leading to poor performance on new data. Underfitting occurs when a model is too simple to capture the underlying patterns in the data.

    • Overfitting: Model is too complex, fits noise in the training data, performs poorly on new data

    • Underfitting: Model is too simple, fails to capture underlying patterns in the data, performs poorly on both training and new...

  • Answered by AI
  • Q2. What are LLM Models
  • Ans. 

    LLM models, or Language Model Models, are a type of machine learning model that focuses on predicting the next word in a sequence of words.

    • LLM models are commonly used in natural language processing tasks such as text generation, machine translation, and speech recognition.

    • They are trained on large amounts of text data to learn the relationships between words and predict the most likely next word in a given context.

    • Exa...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for python questions

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Jul 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Project Discussion… Question on Machine Learning algorithms, Stats, Sql

Interview Preparation Tips

Interview preparation tips for other job seekers - The interview was easy. Just go through the basics.
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GrowthJockey Interview FAQs

How many rounds are there in GrowthJockey Data Scientist interview?
GrowthJockey interview process usually has 1 rounds. The most common rounds in the GrowthJockey interview process are Technical.
How to prepare for GrowthJockey 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 GrowthJockey. The most common topics and skills that interviewers at GrowthJockey expect are Assembly, ELISA, Operating Systems, Pattern recognition and Program Management.
What are the top questions asked in GrowthJockey Data Scientist interview?

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

  1. Mathematics behind image classification in neural netwo...read more
  2. How does K-Means W...read more

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