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Microsoft Corporation Senior Data Scientist Interview Questions and Answers
Microsoft Corporation Senior Data Scientist Interview Experiences
3 interviews found
I applied via Company Website and was interviewed in Mar 2024. There were 2 interview rounds.
1 hour, overall data science related, codility
(2 Questions)
- Q1. What is data science?
- Ans.
Data science is a field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Data science involves collecting, analyzing, and interpreting large amounts of data to solve complex problems.
It combines statistics, machine learning, data visualization, and computer science to uncover patterns and trends in data.
Data scientists use programming language...
- Q2. Simple answer to this question
Skills evaluated in this interview
Saumya Sharma
I applied via Referral and was interviewed in Apr 2024. There were 2 interview rounds.
Decision tree, pytorch, merge sort
(1 Question)
- Q1. Activation functions, xgboost
I applied via Company Website and was interviewed in Oct 2023. There was 1 interview round.
(3 Questions)
- Q1. How will you identify growth of a product?
- Ans.
To identify growth of a product, I would analyze key performance indicators, conduct market research, track customer feedback, and monitor sales data.
Analyze key performance indicators (KPIs) such as revenue, customer acquisition rate, customer retention rate, and market share
Conduct market research to understand market trends, customer preferences, and competitor analysis
Track customer feedback through surveys, review...
- Q2. It takes 2 months to identify attrition of a product based on usage. How can you reduce this time?
- Ans.
Implement real-time monitoring and predictive analytics to reduce time to identify attrition.
Utilize real-time monitoring tools to track usage patterns continuously
Implement predictive analytics models to forecast potential attrition based on usage data
Leverage machine learning algorithms to identify early warning signs of attrition
Automate alerts and notifications for immediate action upon detection of potential attri
- Q3. Window based sql questions (use of lag functions)
Interview Preparation Tips
- AB Testing
- Machine Learning
- Product Metrics
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Interview questions from similar companies
I applied via Company Website and was interviewed in Jul 2024. There was 1 interview round.
(6 Questions)
- Q1. Asked Algorithms used in the project (No follow-up on mentioned algorithms, cut-off mid-explanation of business problem, scale, and solution wanting to know just the names of the algorithm) - Answered by n...
- Q2. Count all pairs of numbers from a list where the ending digit of the ith number equals the starting digit of the jth number. Example [122, 21, 21, 23] should have 5 pairs (122, 21), (122, 21), (122, 23), (...
- Ans.
Count pairs of numbers where ending digit of ith number equals starting digit of jth number.
Iterate through each pair of numbers in the list
Check if the ending digit of the ith number equals the starting digit of the jth number
Increment the count if the condition is met
- Q3. Interpretation of graphs, the first graph had perpendicular lines from the error to the fitted line and the second graph had lines from the error to the fitted line, parallel to the y-axis. - Interpreted t...
- Ans.
Interpretation of graphs in linear regression analysis
Perpendicular lines from error to fitted line in first graph indicate OLS using projection matrices
Lines parallel to y-axis from error to fitted line in second graph suggest evaluation of linear regression to y-pred - y-actual method
PCA could also be a possible interpretation for the second graph
- Q4. What does np.einsum() do
- Ans.
np.einsum() performs Einstein summation on arrays.
Performs summation over specified indices
Can also perform other operations like multiplication, contraction, etc.
Syntax: np.einsum(subscripts, *operands)
- Q5. How to generate random numbers using numpy, what is the difference between numpy.random.rand and numpy.random.randn
- Ans.
numpy.random.rand generates random numbers from a uniform distribution, while numpy.random.randn generates random numbers from a standard normal distribution.
numpy.random.rand generates random numbers from a uniform distribution between 0 and 1.
numpy.random.randn generates random numbers from a standard normal distribution with mean 0 and standard deviation 1.
Example: np.random.rand(3, 2) will generate a 3x2 array of r...
- Q6. Difference between logit and probabilities in deep learning
- Ans.
Logit is the log-odds of the probability, while probabilities are the actual probabilities of an event occurring.
Logit is the natural logarithm of the odds ratio, used in logistic regression.
Probabilities are the actual likelihood of an event occurring, ranging from 0 to 1.
In deep learning, logit values are transformed into probabilities using a softmax function.
Logit values can be negative or positive, while probabili
Interview Preparation Tips
No mathematics/statistics/probability/algorithm is discussed in terms of implementations, or enhancements.
Skills evaluated in this interview
Selected
I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.
Basic self evaluation test.
(3 Questions)
- Q1. What project I have completed and follow-up questions on that?
- Q2. How to handle class imbalance.
- Ans.
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
Use resampling techniques like oversampling or undersampling to balance the classes.
Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.
Adjust class weights in the model to give more importance to minority class.
Use evaluation metrics like F1 score, precision, r...
- Q3. Basic Python coding questions.
(2 Questions)
- Q1. Data-related questions.
- Q2. ML Ops questions.
Interview Preparation Tips
- Python
- MLOPS
Selected
I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.
(1 Question)
- Q1. Basicn details to check for qualifications
(1 Question)
- Q1. About my projects
(1 Question)
- Q1. More details about ML models
Associate Scientist Interview Questions & Answers
Infor Global Solution
Anonymous
posted on 27 Aug 2024
I applied via Referral and was interviewed in Jul 2024. There were 3 interview rounds.
(2 Questions)
- Q1. Why did you choose infor
- Ans.
I chose Infor because of its reputation for innovative technology solutions and its commitment to employee development.
Infor is known for its cutting-edge technology solutions in the industry.
I was impressed by Infor's focus on employee growth and development opportunities.
I believe Infor's values align with my own professional goals and aspirations.
- Q2. Explain how you work under stress
- Ans.
I thrive under pressure by staying organized, prioritizing tasks, and maintaining a positive attitude.
I stay organized by creating to-do lists and breaking down tasks into manageable steps.
I prioritize tasks based on deadlines and importance to ensure that critical work is completed first.
I maintain a positive attitude by taking short breaks to recharge, practicing deep breathing exercises, and seeking support from col
(2 Questions)
- Q1. Everything mentioned on CV
- Q2. Some coding questions
(2 Questions)
- Q1. Same questions as first interview but deeper approach
- Q2. Coding is involved again
I applied via LinkedIn and was interviewed in Jun 2024. There was 1 interview round.
(2 Questions)
- Q1. How do you preprocess large/small dataset
- Ans.
Preprocessing large/small datasets involves cleaning, transforming, and organizing data to prepare it for analysis.
Remove duplicates and missing values
Normalize or standardize numerical features
Encode categorical variables
Feature scaling
Handling outliers
Dimensionality reduction techniques like PCA
Splitting data into training and testing sets
- Q2. Data augmentation
Interview Preparation Tips
I applied via Job Fair and was interviewed in Nov 2023. There were 2 interview rounds.
(3 Questions)
- Q1. Tell me about your self? My name is Sakshi Satish Bayas.
- Q2. What are your Strength? My time management skill exceptional, and I'm well organized, efficient.
- Q3. Why are you interested in this Job? It's an honor and a privilege to work for an established companies like yours. Through this job I can showcase my technical skills to helps company's development.
Algoritham: one algoritham describe and brief about it.
Interview Preparation Tips
- Naive Bayes theorem
I applied via Referral and was interviewed in Oct 2023. There were 2 interview rounds.
SQL coding test on HackerRank. Also some questions on previous experience
Case study on a data project
Interview Preparation Tips
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Microsoft Corporation Senior Data Scientist Interview Process
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