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Deloitte Senior Data Scientist Interview Questions and Answers
6 Interview questions
Similarity score measures the degree of similarity between two documents or words.
Similarity score can be calculated using various techniques such as cosine similarity, Jaccard similarity, and Euclidean distance.
Cosine similarity measures the cosine of the angle between two vectors, while Jaccard similarity measures the intersection over union of two sets.
Euclidean distance measures the distance between two points...
Assumptions of logistic regression
Dependent variable is binary
Linear relationship between independent and log odds
No multicollinearity among independent variables
No outliers or influential observations
Large sample size
Accuracy of document classification can be measured using metrics like precision, recall, F1 score, and confusion matrix.
Precision measures the proportion of true positives among all predicted positives.
Recall measures the proportion of true positives among all actual positives.
F1 score is the harmonic mean of precision and recall.
Confusion matrix shows the number of true positives, true negatives, false positives...
Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.
It is used for classification problems where the dependent variable is binary
It estimates the probability of an event occurring based on the input variables
It uses a sigmoid function to map the input values to a probability score
It is a linear model that u...
What people are saying about Deloitte
MLE is a method used to estimate the parameters of a logistic regression model.
MLE stands for Maximum Likelihood Estimation
It is used to estimate the parameters of a logistic regression model
The goal is to find the values of the parameters that maximize the likelihood of observing the data
The likelihood function is the product of the probabilities of observing each data point given the model parameters
The optimiza...
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.
MLOp...
Deloitte Senior Data Scientist Interview Experiences
5 interviews found
Bhindia Binoy
I applied via Approached by Company and was interviewed in Mar 2024. There were 5 interview rounds.
(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...
(1 Question)
- Q1. Docker Containers
(1 Question)
- Q1. ML Deployment, Docker Containers
(1 Question)
- Q1. Compensation, Fixed Salary
(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...
Interview Preparation Tips
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
Anonymous
I appeared for an interview in Feb 2025, where I was asked the following questions.
- Q1. What if Scenarios Questions
- Q2. Coding Question
(3 Questions)
- Q1. Questions related to resume
- Q2. Why are changing the job?
- Ans.
I am seeking new challenges and opportunities for growth that align with my career goals and aspirations in data science.
Career Advancement: I am looking for a position that offers more responsibility and leadership opportunities, such as leading data science projects.
Skill Development: I want to work with advanced machine learning techniques and tools that I haven't had the chance to explore in my current role.
Cultura...
- Q3. How many years of experience and what are different projects you worked on
(1 Question)
- Q1. Questions related to ML
I applied via Naukri.com and was interviewed in Jan 2023. There were 2 interview rounds.
(2 Questions)
- Q1. About the projects I have worked
- Q2. Similarity score of document and word
- Ans.
Similarity score measures the degree of similarity between two documents or words.
Similarity score can be calculated using various techniques such as cosine similarity, Jaccard similarity, and Euclidean distance.
Cosine similarity measures the cosine of the angle between two vectors, while Jaccard similarity measures the intersection over union of two sets.
Euclidean distance measures the distance between two points in a...
Interview Preparation Tips
What are the evaluation metrics
similarity scores
I applied via Recruitment Consulltant and was interviewed in Jan 2022. There was 1 interview round.
(4 Questions)
- Q1. What is MLE in logistic regression?
- Ans.
MLE is a method used to estimate the parameters of a logistic regression model.
MLE stands for Maximum Likelihood Estimation
It is used to estimate the parameters of a logistic regression model
The goal is to find the values of the parameters that maximize the likelihood of observing the data
The likelihood function is the product of the probabilities of observing each data point given the model parameters
The optimization ...
- Q2. Explain logistic regression
- Ans.
Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.
It is used for classification problems where the dependent variable is binary
It estimates the probability of an event occurring based on the input variables
It uses a sigmoid function to map the input values to a probability score
It is a linear model that uses m...
- Q3. Assumptions of logistic regression
- Ans.
Assumptions of logistic regression
Dependent variable is binary
Linear relationship between independent and log odds
No multicollinearity among independent variables
No outliers or influential observations
Large sample size
- Q4. How do you measure accuracy of document classification?
- Ans.
Accuracy of document classification can be measured using metrics like precision, recall, F1 score, and confusion matrix.
Precision measures the proportion of true positives among all predicted positives.
Recall measures the proportion of true positives among all actual positives.
F1 score is the harmonic mean of precision and recall.
Confusion matrix shows the number of true positives, true negatives, false positives, and...
Interview Preparation Tips
Skills evaluated in this interview
Interview questions from similar companies
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
Interview Questionnaire
2 Questions
- Q1. Write a query where all the customer name start with A
- Q2. Write a query where we'll get state wise sales summary report. Actually in this query we have to join multiple table and finding the rank .
- Ans.
Query to generate state-wise sales summary report with ranking using multiple table joins.
Use SQL JOINs to combine sales, states, and products tables.
Aggregate sales data using SUM() function grouped by state.
Use RANK() or DENSE_RANK() to rank states based on total sales.
Example SQL: SELECT state, SUM(sales) AS total_sales, RANK() OVER (ORDER BY SUM(sales) DESC) AS sales_rank FROM sales_data JOIN states ON sales_data.s...
Interview Preparation Tips
Skills evaluated in this interview
I appeared for an interview before Jan 2021.
(1 Question)
Round duration - 60 minutes
Round difficulty - Easy
This was an online aptitude round on the Talview platform which we can give from our Home. To attempt this test, we have been given a window of 12-24 hours. It was a proctored online test. The round consisted of 60 aptitude questions in 60 minutes of time without any negative marking. The aptitude test consisted of various questions of Logical Reasoning, Mental Ability, Data Interpretation Questions, Numerical Reasoning.
- Q1.
Matrix Transpose Problem Statement
Given a matrix
MAT, your task is to return the transpose of the matrix. The transpose of a matrix is obtained by converting rows into columns and vice versa. Specificall... - Ans.
Transpose a given matrix by switching rows and columns.
Iterate through the matrix and swap elements at [i][j] with [j][i].
Create a new matrix to store the transposed values.
Ensure the dimensions of the transposed matrix are reversed from the original matrix.
Round duration - 30 minutes
Round difficulty - Medium
This was a video interview round taken immediately after the Aptitude test, it was a proctored round on Talview platform. This round consisted of 8 questions, we have to answer each question in the span of 3 mins and 10 secs were given for reading the question, our audio and video was being recorded while answering those questions. Our soft skills were being judged in this round. The questions basically consisted of HR questions and Guesstimates
Round duration - 120 minutes
Round difficulty - Hard
This round was the case study round, in this round, we were provided a case study which we had to solve in 1 hour using pen and paper and had to share the answers of the case study questions in a PDF format to the HR, the questions were related to market share, advertisement strategies, and can be easily solved using basic mathematics. After this, there was be a one-to-one interview on Zoom Platform in which the interviewer will ask you to describe your approach for every question you have solved in the case study, they will not ask for the exact answer, all they ask is about your approach that you have used to solve a particular problem and the way you explain it. They may or may not ask some guesstimates or puzzles as well in this round. The interviewer was very friendly and he gave me hints as well if I was stuck somewhere.
(1 Question)
Round duration - 60 minutes
Round difficulty - Hard
The next round was the Behavioral interview round, in this round, the interviewer asked me about my projects and some guesstimates or puzzles. This round was for 1 hour. The interviewer was very friendly and helpful, she helped me if I was stuck somewhere, she kept me calm during the interview process.
- Q1. How many people do you estimate watched Ramayana/Mahabharat during the first month of the Covid lockdown in 2020?
(1 Question)
Round duration - 40 minutes
Round difficulty - Hard
The fit round was my final interview round, in this, you will meet the manager/Principal from the company. They will basically check whether you are fit for the organization. They ask about the projects I have done in college/internships. Some basic questions like what are your strengths and weaknesses, why do you want to join the company and some guesstimates or puzzles as well.
On-campus, the behavioral and fit interview rounds were combined into one.
This round was of 40 minutes and the interview was taken on Zoom, the interviewer was helpful and sweet.
- Q1. How many pizzas are sold in one day in Pune?
- Ans.
The number of pizzas sold in Pune in one day varies depending on factors like day of the week, weather, events, etc.
The number of pizzas sold in Pune can range from hundreds to thousands in a day.
Factors like day of the week (weekend vs weekday), weather (rainy vs sunny), events (festivals, holidays) can impact the sales.
Popular pizza outlets in Pune like Domino's, Pizza Hut, etc. contribute to the overall sales.
Data f...
Interview Preparation Tips
Tip 1 : Prepare well for guesstimates and puzzles.
Tip 2 : Practice Data Interpretation Questions.
Tip 3 : Be well versed with your projects.
Tip 1 : The resume should be very precise and concise
Tip 2 : Do not add such skills in your resume in which you're not comfortable.
Skills evaluated in this interview
I applied via Campus Placement and was interviewed in Dec 2021. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. What do you know about PWC .?
Interview Preparation Tips
I applied via Walk-in and was interviewed in Apr 2020. There was 1 interview round.
Interview Questionnaire
2 Questions
- Q1. Cut Cake in 3 cut to maximum pieces
- Q2. Basic SQL queries
Interview Preparation Tips
You can be absorbed to much related profile of your interests.
They only check how better you represent yourself and your problem solving approach.
Interview Questionnaire
1 Question
- Q1. Tell me about yourself
Interview Preparation Tips
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Overall Interview Experience Rating
based on 4 interview experiences
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Deloitte Senior Data Scientist Reviews and Ratings
based on 4 reviews
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