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Zania Senior Data Scientist Interview Questions and Answers for Experienced

Updated 24 Jul 2024

Zania Senior Data Scientist Interview Experiences for Experienced

1 interview found

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
No response

I applied via AngelList and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - HR 

(3 Questions)

  • Q1. Tell me about yourself, explain some projects from your resume.
  • Q2. What is Retrival Augmentated Generation?
  • Ans. 

    Retrieval Augmented Generation is a model that combines retrieval-based and generation-based approaches in natural language processing.

    • Combines retrieval-based and generation-based approaches

    • Retrieves relevant information from a knowledge base and generates responses

    • Used in chatbots, question answering systems, and dialogue systems

  • Answered by AI
  • Q3. What projects have you worked on where you built an AI agent?
Round 2 - Assignment 

Create an AI agent which takes in a company document as input and answers questions based on that document.

Interview Preparation Tips

Topics to prepare for Zania Senior Data Scientist interview:
  • Generative AI
  • LLMs
  • Text to speech
Interview preparation tips for other job seekers - In the assignment make sure you use the best technique available at that time, i brute force the assignment and didnt get a response.

Skills evaluated in this interview

Interview questions from similar companies

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

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

Round 1 - Technical 

(2 Questions)

  • Q1. Gave one easy question and asked what will be the output
  • Q2. Leetcode 2 sum question

Interview Preparation Tips

Interview preparation tips for other job seekers - I was pretty much sure that I would pass L1 round and hoping for L2 round. I was interviewing for Generative AI Engineer. It was full 1 hr. The interviewer was less experienced than me. He asked me about my current work and focused more on previous work. I gave 80% correct answers and still did not make it. Don't know what they were expecting from me. Then I thought, maybe they are just taking the interview for the name sake. Sometimes, rejections are baseless.
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Deep questions about Machine learning, Deep learning, Generative AI, the working of transformers etc.
Round 2 - Technical 

(1 Question)

  • Q1. Deep questions about Machine learning and deep learning with projects done. This was a client round.
Round 3 - HR 

(1 Question)

  • Q1. Salary discussion, project discussion, why change? Why Wipro
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Mar 2024. There were 5 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. MLOps vs DevOps
  • Ans. 

    MLOps focuses on machine learning model deployment and management, while DevOps focuses on software development and IT operations.

    • MLOps is specifically tailored for machine learning models, ensuring they are deployed, monitored, and managed effectively.

    • DevOps is a broader practice that focuses on collaboration between development and operations teams to automate and streamline the software development process.

    • MLOps inc...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. Docker Containers
Round 3 - Technical 

(1 Question)

  • Q1. ML Deployment, Docker Containers
Round 4 - HR 

(1 Question)

  • Q1. Compensation, Fixed Salary
Round 5 - Technical 

(1 Question)

  • Q1. Coding in Python using explode
  • Ans. 

    Explode function in Python is used to split a string into a list of strings based on a specified delimiter.

    • Use the explode function from the pandas library to split a string column into multiple rows in a DataFrame.

    • Specify the delimiter parameter to define how the string should be split.

    • For example, df['column'].str.split('delimiter').explode() will split the strings in 'column' based on 'delimiter' and create a new ro

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Never believe Deloitte Company. HR would give promises after finishing the HR round which is the last round in most of the companies. Later, they scheduled another round immediately without informing prior and informed that you got rejected after that round.
The candidate gave a counteroffer letter to HR and HR was fully aware of the joining date in that company. But still, HR made a promise on the phone she would give the offer letter a day or two days after the final round ie, HR. The next day HR called me to go through another round with the director and later said you got rejected. The candidate rejected the counteroffer letter and listened to the words of Deloitte HR's promise. So never believe these HR representatives of Deloitte, they will make you go jobless. Very PATHETIC experience. BEWARE OF SUCH FRAUDSTERS.

Skills evaluated in this interview

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

(3 Questions)

  • Q1. Questions related to resume
  • Q2. Why are changing the job?
  • Q3. How many years of experience and what are different projects you worked on
Round 2 - Technical 

(1 Question)

  • Q1. Questions related to ML
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Will be two questions to solve

Round 2 - Technical 

(2 Questions)

  • Q1. Details about ML,DL
  • Q2. Detials about Projects
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Basics of Machine Learning, Gradient Descent, Trade-off, etc.
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Aug 2023. There were 4 interview rounds.

Round 1 - Aptitude Test 

It was based on logical reasoning and verbal along with speech recognition

Round 2 - Coding Test 

Python based basic questions like sort find maximum

Round 3 - Technical 

(1 Question)

  • Q1. They asked all the questions based on my projects.
Round 4 - HR 

(1 Question)

  • Q1. Simple he procedure
  • Ans. 

    Simple procedure refers to a straightforward and easy-to-follow set of steps or instructions.

    • Follow a clear sequence of steps

    • Use simple language and visuals if needed

    • Ensure the procedure is easy to understand and execute

  • Answered by AI
Interview experience
4
Good
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Mar 2023. There was 1 interview round.

Round 1 - Technical 

(4 Questions)

  • Q1. What is F Score
  • Ans. 

    F Score is a measure of a test's accuracy that considers both the precision and recall of the test.

    • F Score is calculated using the formula: 2 * (precision * recall) / (precision + recall)

    • It is used in binary classification tasks to balance precision and recall.

    • A high F Score indicates a model with both high precision and high recall.

  • Answered by AI
  • Q2. What is TFIDF in NLP
  • Ans. 

    TFIDF stands for Term Frequency-Inverse Document Frequency, a numerical statistic that reflects how important a word is to a document in a collection or corpus.

    • TFIDF is used in natural language processing to evaluate the importance of a word in a document relative to a collection of documents.

    • It combines two metrics: term frequency (TF) and inverse document frequency (IDF).

    • TFIDF helps in identifying the significance of...

  • Answered by AI
  • Q3. What is cosine similarity
  • Ans. 

    Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space.

    • It measures the cosine of the angle between two vectors.

    • Values range from -1 (completely opposite) to 1 (identical), with 0 indicating orthogonality.

    • Commonly used in text mining for document similarity and recommendation systems.

  • Answered by AI
  • Q4. How do you generate embeddings
  • Ans. 

    Embeddings are generated by converting words or entities into numerical vectors in a high-dimensional space.

    • Use pre-trained word embeddings like Word2Vec, GloVe, or FastText

    • Train your own embeddings using algorithms like Word2Vec, GloVe, or FastText on a large corpus of text data

    • Fine-tune pre-trained embeddings on domain-specific data to improve performance

  • Answered by AI

Skills evaluated in this interview

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

I applied via Referral and was interviewed before Dec 2021. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. What is p value? What is spacy, NLP, NER model?
  • Ans. 

    p value is a statistical measure that helps determine the significance of a hypothesis test.

    • p value is the probability of obtaining a result as extreme or more extreme than the observed result, assuming the null hypothesis is true.

    • A p value of less than 0.05 is considered statistically significant.

    • Spacy is an open-source software library for advanced natural language processing (NLP).

    • NLP is a field of study that focuse...

  • Answered by AI
  • Q2. What is lamda function in python?
  • Ans. 

    Lambda function is an anonymous function in Python that can take any number of arguments and can only have one expression.

    • Lambda functions are defined using the keyword 'lambda'.

    • They are commonly used with built-in functions like filter(), map(), and reduce().

    • Lambda functions can be used to create small, throwaway functions that are not needed elsewhere in the code.

    • They are often used to write more concise and readable...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - If your basics are strong you can clear technical rpund.

Skills evaluated in this interview

Zania Interview FAQs

How many rounds are there in Zania Senior Data Scientist interview for experienced candidates?
Zania interview process for experienced candidates usually has 2 rounds. The most common rounds in the Zania interview process for experienced candidates are Assignment and HR.

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