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Yum! Data Scientist Interview Questions and Answers

Updated 1 Nov 2024

Yum! Data Scientist Interview Experiences

2 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in May 2024. There were 4 interview rounds.

Round 1 - Coding Test 

1 dsa question 2 sql queries questions on data analysis

Round 2 - Technical 

(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;

  • Answered by AI
  • Q2. Dsa question of string manipulation
Round 3 - Technical 

(2 Questions)

  • Q1. Sql query advanced level
  • Q2. Guesstimate and resume questions
Round 4 - HR 

(2 Questions)

  • Q1. Basic common HR questions
  • Q2. Questions about educational background cultural fit

Interview Preparation Tips

Interview preparation tips for other job seekers - The focus more on resume

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Simple DSA along with data science topics

Round 2 - Interview 

(1 Question)

  • Q1. Mostly on advance data science topics
Round 3 - HR 

(1 Question)

  • Q1. It was mostly interactive

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Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - Coding Test 

Hackerrank - SQL and Statistics

Round 2 - Case Study 

How to make a regression model

Round 3 - One-on-one 

(1 Question)

  • Q1. What was the definition of false positive and false negative
  • Ans. 

    False positive and false negative are terms used in data analysis to describe errors in classification models.

    • False positive refers to a situation where a test result incorrectly indicates the presence of a condition or attribute.

    • False negative refers to a situation where a test result incorrectly indicates the absence of a condition or attribute.

    • In medical field, false positive can occur when a healthy person is wrong...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Job Portal and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Quant,Logical Reasoning

Round 2 - Assignment 

Simple Aptitude and Case study

Interview Questionnaire 

1 Question

  • Q1. Questions about current and past projects and machine learning concepts.

Interview Preparation Tips

Round: Technical Interview
Experience: It was telephonic interview, started with introduction then interviewer asked me about current project and technologies using for implementation. Interviewer was very calm and friendly so I was relaxed, in the end we discussed about job profile, work environment and their expectation from me.
Tips: Know your projects work in details, answer to asked questions very brief and precise, if you don't know answer then be truthfull about it.

College Name: IIT Guwahati

I was interviewed in Apr 2017.

Interview Questionnaire 

2 Questions

  • Q1. Past and current projects work, and few basic machine learning concepts
  • Q2. Questions about machine learning concepts, E.g. classification, regression, clustering, over fitting vs under fitting, boosting etc.

Interview Preparation Tips

Round: Technical Interview
Experience: It was telephonic interview, started with introduction, asked me about projects, technologies.
Tips: Know your projects work in detail.

Round: Technical Interview
Experience: It was video conferencing. Interviewer was very informal that made me relaxed and comfortable, asked me various questions on data science, I tried to answer those with how I used those concept in my projects work. It ended on positive note.
Tips: Be truthful, don't assume anything.

College Name: IIT Guwahati

I applied via Campus Placement and was interviewed in Dec 2016. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Previous Experience in Analytics
  • Ans. 

    I have 3 years of experience in analytics, working with various tools and techniques.

    • Worked with SQL, Python, and R for data analysis and visualization

    • Developed predictive models using machine learning algorithms

    • Collaborated with cross-functional teams to provide insights and recommendations

    • Presented findings to stakeholders and executives

    • Experience in A/B testing and experimentation

    • Worked with large datasets and data ...

  • Answered by AI
  • Q2. Technical questions about analytics

Interview Preparation Tips

Round: Resume Shortlist
Experience: CGPA shortlist

College Name: IIT Madras

I applied via Campus Placement

Interview Questionnaire 

6 Questions

  • Q1. Why your CGPA is so low ?
  • Ans. 

    My CGPA is low because I focused more on gaining practical experience through internships and projects.

    • I prioritized gaining practical experience over theoretical knowledge

    • I took up internships and projects to gain hands-on experience

    • I believe practical experience is more valuable than just academic grades

  • Answered by AI
  • Q2. Questions regarding my Time Series Analysis Project
  • Q3. Questions about numerical computations techniques like Newtons Raphson Method
  • Q4. Walking through your resume
  • Q5. 2-3 Puzzles (techinterview)
  • Q6. Your inclination towards Startups doesn't support your job-application

Interview Preparation Tips

Round: Resume Shortlist
Experience: CVs were shortlisted mainly on the basis of projects, international exposure and coding background. They were looking for two types of people : who were either having experience in the data analytics field (course,projects) or either having any internship in their department in which they have shown excellent performances.
Tips: Well prepared and reviewed resume would definitely gonna work.

Round: Stress Interview
Experience: It was a 40-50 mins interview in which they start grilling me from the point where I entered the room by asking your CPI is so low, can you justify ? And then there were above listed questions which were asked . Everything went great. They were impressed about my contribution on time-series project and then by my internship experience
Tips: Prepare well and understand each and every letter of your resume, they will go into sufficient details of it. Prepare puzzles, it will definitely help you.

Skills: Confidence, Generic Math Puzzles, Work Experience, Algorithms And Data Structures, Ability To Cope Up With Stress, Time Series
Duration: 2
College Name: IIT Kanpur
Motivation: Excellent job profile in the emerging field of Data science, challenging job opportunities and growth possibilities

I applied via Campus Placement

Interview Questionnaire 

6 Questions

  • Q1. Briefly go through your resume
  • Ans. 

    I have experience in data analysis, machine learning, and statistical modeling.

    • Worked as a data analyst at XYZ company for 2 years

    • Developed predictive models using machine learning algorithms

    • Conducted statistical analysis on large datasets

    • Completed a Master's degree in Data Science from ABC University

  • Answered by AI
  • Q2. Why low CPI ?
  • Ans. 

    Low CPI may be due to various factors such as low demand, high competition, or ineffective marketing strategies.

    • Low demand for the product or service

    • High competition in the market

    • Ineffective marketing strategies

    • Lack of differentiation from competitors

    • Poor product quality or customer service

    • Economic downturn or recession

    • Changes in consumer behavior or preferences

  • Answered by AI
  • Q3. Some Basic questions regarding projects and puzzles
  • Q4. Again why low CPI ? just to test your mantle
  • Ans. 

    Low CPI may indicate inefficiencies in marketing strategies or poor product quality.

    • Low CPI can be caused by ineffective targeting of ads to the right audience.

    • It can also be due to poor product quality or lack of demand for the product.

    • Low CPI may require a reassessment of marketing strategies and product offerings.

    • Examples of low CPI include unsuccessful ad campaigns or low sales numbers.

    • Improving CPI can lead to inc...

  • Answered by AI
  • Q5. Extra-Currics
  • Q6. Strength and weakness

Interview Preparation Tips

Round: Resume Shortlist
Experience: Initial shortlisting was based on resumes. They were looking developers and people having background in stats. Also they shortlisted quite a few with international exposure and decent CPI.
Tips: Machine Learning, Coding Experience, Time-series Analysis

Round: Technical Interview
Experience: It was nice, they were quite adamant on testing my stress handling abilities by asking about my academics background. They were impressed by a project of mine related to time series analysis. The round was for about 40-50 minutes.
Tips: Understand each and every point from your resume. Be prepared about some puzzles. Can do online courses from Coursera on Data science & Machine Learning.

Skills: Generic Math Puzzles, Basics Of Machine Learning, Probability And Statistics, Algorithms And Data Structures, Ability To Cope Up With Stress
Duration: 2
College Name: IIT Kanpur

I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Which job gives me do that work because of this job very important to me

Interview Preparation Tips

Interview preparation tips for other job seekers - No adive
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Yum! Interview FAQs

How many rounds are there in Yum! Data Scientist interview?
Yum! interview process usually has 3-4 rounds. The most common rounds in the Yum! interview process are Coding Test, HR and Technical.
How to prepare for Yum! 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 Yum!. The most common topics and skills that interviewers at Yum! expect are Machine Learning, Python, SQL, Statistical Modeling and Data Science.
What are the top questions asked in Yum! Data Scientist interview?

Some of the top questions asked at the Yum! Data Scientist interview -

  1. Sql query using window funct...read more
  2. Questions about educational background cultural ...read more
  3. Dsa question of string manipulat...read more

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Yum! Data Scientist Interview Process

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