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Xoriant Lead Data Scientist Interview Questions and Answers

Updated 30 Dec 2024

Xoriant Lead Data Scientist Interview Experiences

1 interview found

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

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

Round 1 - Technical 

(2 Questions)

  • Q1. What are the key topics related to Generative AI, specifically focusing on Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)?
  • Ans. 

    Key topics in Generative AI include Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).

    • RAG combines generative models with retrieval mechanisms to improve text generation.

    • LLMs like GPT-3 and BERT are pre-trained on large text corpora to generate human-like text.

    • Ethical considerations in using LLMs for text generation, such as bias and misinformation.

    • Applications of RAG and LLMs in natural language pro...

  • Answered by AI
  • Q2. What is your understanding of the existing project and the technology stacks used?
  • Ans. 

    I have a strong understanding of the existing project and the technology stacks used.

    • The existing project is a data analytics platform used for analyzing customer behavior and making data-driven decisions.

    • The technology stacks used include Python for data processing, SQL for database management, and Tableau for data visualization.

    • I have experience working with machine learning algorithms such as regression, classificat

  • Answered by AI
Round 2 - Technical 

(3 Questions)

  • Q1. What has been your contribution to existing work and the technologies used in that context?
  • Ans. 

    I have contributed to improving data processing efficiency by implementing advanced machine learning algorithms and optimizing existing models.

    • Implemented advanced machine learning algorithms to improve predictive accuracy

    • Optimized existing models to increase efficiency and reduce processing time

    • Developed automated data processing pipelines to streamline workflow

    • Collaborated with cross-functional teams to integrate new...

  • Answered by AI
  • Q2. ML, DL, Gen AI implementation and flow
  • Q3. Python Coding logic and semantics
Round 3 - One-on-one 

(2 Questions)

  • Q1. What are the existing work challenges you face, and what solutions have you implemented to address them?
  • Ans. 

    Work challenges and solutions in data science role

    • One challenge is handling large volumes of data efficiently, solution is implementing parallel processing techniques like MapReduce

    • Another challenge is ensuring data quality, solution is developing data validation processes and implementing data cleaning algorithms

    • Dealing with complex algorithms is a challenge, solution is continuous learning and staying updated with la

  • Answered by AI
  • Q2. What is your understanding of Generative AI and Natural Language Processing (NLP), and can you provide examples of their use cases?
  • Ans. 

    Generative AI and NLP are advanced technologies used to create content and understand human language.

    • Generative AI involves creating new content, such as images, music, or text, using algorithms like GANs.

    • NLP focuses on understanding and generating human language, used in chatbots, sentiment analysis, and language translation.

    • Use cases of Generative AI include deepfake videos, art generation, and text generation.

    • NLP is...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Genuinely communicate your skills and contributions.

Interview questions from similar companies

I appeared for an interview in Aug 2017.

Interview Preparation Tips

Round: Group Discussion
Experience: every one put their views
Tips: just tell anything. no one listen
Duration: 5 minutes

Round: Test
Experience: online test
Tips: do those question which can be solved without usingpen paper first
Duration: 5 minutes
Total Questions: 50

Skills: Relieving Pressure

I appeared for an interview in Sep 2016.

Interview Questionnaire 

2 Questions

  • Q1. Behavioral questions, what will you choose knowledge or money?Why?, etc . Other curricular activities that showcase your managerial skills, etc
  • Q2. Focused on projects from resume and cross questioning. Can ask you about the tools or languages related questions if you have added that to CV. Followed by guesstimates where you will have to provide detai...

Interview Preparation Tips

Round: Technical + HR Interview
Tips: It is advantageous if you have prior experience with data handling tools eg advanced EXCEL , SPSS

Data Analyst Interview Questions & Answers

TCS user image Mahuya Khan Basak

posted on 12 Nov 2017

I appeared for an interview before Nov 2016.

Interview Preparation Tips

Round: Test
Experience: Only Written
Duration: 1 hour 45 minutes
Total Questions: 100

Skills: Proficiency In English, Basic concepts of computer, Commerce background with 50%

I applied via Walk-in and was interviewed before Jun 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Da tools

Interview Preparation Tips

Interview preparation tips for other job seekers - Get referal

I applied via Company Website and was interviewed before Jun 2020. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Python data structures
  • Q2. MongoDB database algorithms
  • Ans. 

    MongoDB database algorithms are used for efficient data storage, retrieval, and processing.

    • MongoDB uses various algorithms for indexing, sharding, and aggregation.

    • Indexing algorithms include B-tree, hash, and text search indexes.

    • Sharding algorithms include range-based, hash-based, and zone-based sharding.

    • Aggregation algorithms include map-reduce and aggregation pipeline.

    • MongoDB also uses algorithms for query optimizati

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with your basics

Skills evaluated in this interview

Interview Questionnaire 

3 Questions

  • Q1. About my self and my experience.
  • Q2. What's the reason for leaving previous job?
  • Q3. Technical question depends on process.

I applied via Walk-in and was interviewed before Feb 2021. There were 4 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 

(1 Question)

  • Q1. Scenario based question SQL questions advanced Excel questions like v lookup h lookup
Round 3 - One-on-one 

(1 Question)

  • Q1. About the project complete description of the project what we have done and how
Round 4 - HR 

(5 Questions)

  • Q1. Why should we hire you?
  • Q2. Why are you looking for a change?
  • Q3. What are your strengths and weaknesses?
  • Q4. Tell me about yourself.
  • Q5. What are your salary expectations?

Interview Preparation Tips

Interview preparation tips for other job seekers - Always speak up.....don't be silent

I applied via Referral and was interviewed in Jul 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. 1. what is responsibility of data ayalyst. 2. About project. 3. how to deal multi- source problem. 4. what are key skill required for data analyst. 5. some statistical method that are useful for data anyly...

Interview Preparation Tips

Interview preparation tips for other job seekers - it was tough but if you confident in yourself you can do anything.

I applied via Job Portal and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. What is data analyst role means

Interview Preparation Tips

Interview preparation tips for other job seekers - What is data analyst

Xoriant Interview FAQs

How many rounds are there in Xoriant Lead Data Scientist interview?
Xoriant interview process usually has 3 rounds. The most common rounds in the Xoriant interview process are Technical and One-on-one Round.
How to prepare for Xoriant Lead 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 Xoriant. The most common topics and skills that interviewers at Xoriant expect are Python, Data Science, Machine Learning, Deep Learning and NLP.
What are the top questions asked in Xoriant Lead Data Scientist interview?

Some of the top questions asked at the Xoriant Lead Data Scientist interview -

  1. What is your understanding of Generative AI and Natural Language Processing (NL...read more
  2. What are the key topics related to Generative AI, specifically focusing on Retr...read more
  3. What is your understanding of the existing project and the technology stacks us...read more

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