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Starbucks Data Scientist Intern Interview Questions and Answers
Starbucks Data Scientist Intern Interview Experiences
1 interview found
Anonymous
(2 Questions)
- Q1. A walk through of a model to identify employees likely to quit job early, in order to decrease attrition.
- Ans.
Utilize machine learning models to predict employee attrition and take proactive measures to reduce it.
Collect relevant data such as employee demographics, performance metrics, satisfaction surveys, etc.
Preprocess the data by handling missing values, encoding categorical variables, and scaling numerical features.
Split the data into training and testing sets to train the model and evaluate its performance.
Choose appropr...
- Q2. Conflict with a teammate. How did you solve it
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Interview questions from similar companies
I applied via campus placement at Netaji Subhas Institute of Technology (NSIT) and was interviewed in May 2024. There were 4 interview rounds.
1 dsa question 2 sql queries questions on data analysis
(2 Questions)
- Q1. Sql query using window function
- Ans.
Using window functions in SQL to perform calculations within a specific subset of data.
Window functions are used to perform calculations across a set of rows related to the current row.
Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().
Example: SELECT employee_id, salary, AVG(salary) OVER (PARTITION BY department_id) AS avg_salary FROM employees;
- Q2. Dsa question of string manipulation
(2 Questions)
- Q1. Sql query advanced level
- Q2. Guesstimate and resume questions
(2 Questions)
- Q1. Basic common HR questions
- Q2. Questions about educational background cultural fit
Interview Preparation Tips
Skills evaluated in this interview
Simple DSA along with data science topics
(1 Question)
- Q1. Mostly on advance data science topics
(1 Question)
- Q1. It was mostly interactive
Selected
I applied via Campus Placement and was interviewed before Dec 2023. There were 3 interview rounds.
Linear regression questions and basic HR-related questions.
(1 Question)
- Q1. Discussion on projects and Dimensionality reduction model
(1 Question)
- Q1. Information about yourself, your family, and your background?
- Ans.
I am a data science intern with a diverse background and a supportive family.
I am currently pursuing a degree in data science at XYZ University.
My family has always been supportive of my academic and career pursuits.
I have previous internship experience in data analysis at ABC Company.
I enjoy exploring new technologies and applying them to real-world problems.
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