Jio Senior Data Scientist Interview Questions and Answers

Q1. Technical questions related to NLP, Computer Vision and Projects that I worked on. Detailed discussion on evaluation metrics that I used.
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Q1. Interview with the Manager to whom I was going to report, it was mostly related to Deep Leaning in which questions related to batch normalisation, various activation functions along with drawbacks were ask...read more
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A simple aptitude test was organised but it was not an eliminator, just to check your aptitude

Q1. All technical questions related to profile
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Q1. Data science questions
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Q1. Current role and experience related
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Q1. Technical questions
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Q2. Data science questions by onshore team
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Q1. Salary joining date
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Q2. Expected salary joining date
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Q1. Basic SQL, Basic questions around discriptive stats and ML concepts. Questions around previous projects
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Q1. Basic Stats and ML questions, questions around linear models, outliers handling. End to end model pipeline for scinario.
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Simple EDA and model building on toy data.

Q1. Managers access story telling and articulation skills.
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Q1. Business problem and how that can be solved using data science
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Q1. Technical questions related to NLP, Computer Vision and Projects that I worked on. Detailed discussion on evaluation metrics that I used.
Add your answer

Q1. Interview with the Manager to whom I was going to report, it was mostly related to Deep Leaning in which questions related to batch normalisation, various activation functions along with drawbacks were ask...read more
Add your answer

A simple aptitude test was organised but it was not an eliminator, just to check your aptitude

Python and SQL coding test along with basic data science questions
Python was on basic syntax. SQL was on medium difficulty

Q1. Correlation vs causation Central limit theorem Support Vector Machines Confusion matrix Basics of Deep Learning - activation function, optimizers and initialisation techniques Z score, P value Differenc...read more
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Q1. Questions about my background My hobbies and interests
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Q1. Difference between Data Warehouse, Data Lakes and Tables
Ans. 
Data Warehouse stores structured data for reporting and analysis, Data Lakes store raw and unstructured data, Tables are basic data structures.
• Data Warehouse is used for storing structured data from various sources for reporting and analysis.

• Data Lakes store raw and unstructured data in its native format for future processing and analysis.

• Tables are basic data structures used to organize and store data in a structured ...read more
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Q2. Query difference betweeen Group by and Partition by
Ans. 
Group by is used to group rows that have the same values into summary rows, while Partition by is used to divide the result set into partitions to which the function is applied separately.
• Group by is used with aggregate functions to group rows based on a column or set of columns.

• Partition by is used with window functions to divide the result set into partitions.

• Group by is used with SELECT statement, while Partition by...read more
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Q3. Machine Learning questions such as Regression, Trees etc
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