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Decision Point Senior Data Scientist Interview Questions and Answers

Updated 8 May 2023

Decision Point Senior Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before May 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Coding Test 

Python, SQL and other languages were tested

Round 3 - Coding Test 

Various machine learning algorithms were tested

Round 4 - One-on-one 

(2 Questions)

  • Q1. Cultural round... General questions
  • Q2. What is your experience
  • Ans. 

    I have 5 years of experience in data science with expertise in machine learning and statistical analysis.

    • 5 years of experience in data science

    • Expertise in machine learning and statistical analysis

    • Worked on various projects involving data cleaning, feature engineering, and model building

    • Proficient in programming languages like Python and R

    • Experience in working with big data technologies like Hadoop and Spark

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be well prepared with coding and be truthful

Senior Data Scientist Jobs at Decision Point

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Interview questions from similar companies

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

I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Technical 

(5 Questions)

  • Q1. How will you find loyal customers for a store like DMart , SmartBazar
  • Ans. 

    Utilize customer transaction data and behavior analysis to identify loyal customers for DMart and SmartBazar.

    • Use customer transaction history to identify frequent shoppers

    • Analyze customer behavior patterns such as repeat purchases and average spend

    • Implement loyalty programs to incentivize repeat purchases

    • Utilize customer feedback and reviews to gauge loyalty

    • Segment customers based on their shopping habits and preferenc

  • Answered by AI
  • Q2. Who is more valuable a customer who is making small transactions everyday or the customer who makes big transactions in a month
  • Ans. 

    It depends on the business model and goals of the company.

    • Small transactions everyday can lead to consistent revenue streams and customer engagement.

    • Big transactions in a month can indicate high purchasing power and potential for larger profits.

    • Consider customer lifetime value, retention rates, and overall business strategy when determining value.

  • Answered by AI
  • Q3. What will you do as a data scientist if the sales of a store is declining
  • Ans. 

    I would conduct a thorough analysis of the sales data to identify trends and potential causes of the decline.

    • Review historical sales data to identify patterns or seasonality

    • Conduct customer surveys or interviews to gather feedback

    • Analyze competitor data to understand market dynamics

    • Implement predictive modeling to forecast future sales

    • Collaborate with marketing team to develop targeted strategies

  • Answered by AI
  • Q4. We have to bundle the items together in the units of 2-3 as a single units like chips of 3 packets together. how to identify which items to bundle and number of units. Create a machine learning model for i...
  • Q5. You are working in a project, where your approach towards problem is more innovative while the rest of the team is following conventional approach. how will you convince them to follow your approach.
  • Ans. 

    I would showcase the potential benefits and results of my innovative approach to convince the team.

    • Highlight the advantages of the innovative approach such as improved efficiency, accuracy, or cost-effectiveness.

    • Provide real-world examples or case studies where similar innovative approaches have led to successful outcomes.

    • Encourage open discussion and collaboration within the team to explore the potential of combining ...

  • Answered by AI
Round 2 - Case Study 

1. A store has promotional offers how will you analyse that offers are working in their favour.
2. What data will you require if you want to predict the sales of the chocolate in a store.
3. Why data is distributed normally in linear regression.
4. Difference between linear and logistic regression
5. A person who is senior to you and you are working on the same project. But that person has very bad reputation of misbehaving and being rude to people. And he is doing same with you. What will you do?

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare case study a lot. Both round were mainly revolving around case study and situational HR questions. Coding questions were not asked a lot. only few that too were quite easy.

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-

I applied via campus placement at National Institute of Technology (NIT), Warangal

Round 1 - Aptitude Test 

1 hour aptitude test

Round 2 - One-on-one 

(1 Question)

  • Q1. What is one hot encoding
Round 3 - HR 

(1 Question)

  • Q1. What is your long term goal
Round 1 - Coding Test 

Basic Python , numpy and pandas MCQ and easy coding question

Round 2 - Technical 

(2 Questions)

  • Q1. Question from CV and explanation of machine algo used
  • Q2. Basic SQL questions.
Round 3 - Case Study 

Basic ML Case interview. Asked to find "How check if a promotion was successful"

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through the CV thoroughly and brush up on SQL
Interview experience
3
Average
Difficulty level
Easy
Process Duration
-
Result
Not Selected

I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Topics like sql, python, aptitude were covered.

Round 2 - Technical 

(1 Question)

  • Q1. Questions from stats, machine learning were asked. Behavioral questions were also covered.

Interview Preparation Tips

Interview preparation tips for other job seekers - It was a good experience but they didnt give any response for my mails. I was worried about the results for 3 weeks and later they told me it was a rejection. When I asked them for reason , they dont have any it seems . Post interview it was horrible experience for me .
Interview experience
5
Excellent
Difficulty level
-
Process Duration
2-4 weeks
Result
-

I was interviewed before Mar 2023.

Round 1 - Technical 

(2 Questions)

  • Q1. Mostly about projects
  • Q2. What value the projects drive
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at National Institute of Technology (NIT), Rourkela and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Simple Aptitude questions, Data interpretation and verbal

Round 2 - One-on-one 

(3 Questions)

  • Q1. Basic questions on Data Analytics, Projects mentioned
  • Q2. Code in SQL and python(moderate)
  • Ans. 

    The candidate is asked to code in SQL and Python at a moderate level.

    • Use SQL to query data from databases

    • Use Python to manipulate and analyze data

    • Practice writing SQL queries and Python scripts

  • Answered by AI
  • Q3. Machine Learning
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Technical 

(5 Questions)

  • Q1. How will you find loyal customers for a store like DMart , SmartBazar
  • Ans. 

    Utilize customer transaction data and behavior analysis to identify loyal customers for DMart and SmartBazar.

    • Use customer transaction history to identify frequent shoppers

    • Analyze customer behavior patterns such as repeat purchases and average spend

    • Implement loyalty programs to incentivize repeat purchases

    • Utilize customer feedback and reviews to gauge loyalty

    • Segment customers based on their shopping habits and preferenc

  • Answered by AI
  • Q2. Who is more valuable a customer who is making small transactions everyday or the customer who makes big transactions in a month
  • Ans. 

    It depends on the business model and goals of the company.

    • Small transactions everyday can lead to consistent revenue streams and customer engagement.

    • Big transactions in a month can indicate high purchasing power and potential for larger profits.

    • Consider customer lifetime value, retention rates, and overall business strategy when determining value.

  • Answered by AI
  • Q3. What will you do as a data scientist if the sales of a store is declining
  • Ans. 

    I would conduct a thorough analysis of the sales data to identify trends and potential causes of the decline.

    • Review historical sales data to identify patterns or seasonality

    • Conduct customer surveys or interviews to gather feedback

    • Analyze competitor data to understand market dynamics

    • Implement predictive modeling to forecast future sales

    • Collaborate with marketing team to develop targeted strategies

  • Answered by AI
  • Q4. We have to bundle the items together in the units of 2-3 as a single units like chips of 3 packets together. how to identify which items to bundle and number of units. Create a machine learning model for i...
  • Q5. You are working in a project, where your approach towards problem is more innovative while the rest of the team is following conventional approach. how will you convince them to follow your approach.
  • Ans. 

    I would showcase the potential benefits and results of my innovative approach to convince the team.

    • Highlight the advantages of the innovative approach such as improved efficiency, accuracy, or cost-effectiveness.

    • Provide real-world examples or case studies where similar innovative approaches have led to successful outcomes.

    • Encourage open discussion and collaboration within the team to explore the potential of combining ...

  • Answered by AI
Round 2 - Case Study 

1. A store has promotional offers how will you analyse that offers are working in their favour.
2. What data will you require if you want to predict the sales of the chocolate in a store.
3. Why data is distributed normally in linear regression.
4. Difference between linear and logistic regression
5. A person who is senior to you and you are working on the same project. But that person has very bad reputation of misbehaving and being rude to people. And he is doing same with you. What will you do?

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare case study a lot. Both round were mainly revolving around case study and situational HR questions. Coding questions were not asked a lot. only few that too were quite easy.

Skills evaluated in this interview

Interview experience
1
Bad
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Aptitudes of everything

Round 2 - Coding Test 

Coding test in round 1 only

Interview Preparation Tips

Topics to prepare for Sigmoid Data Science Intern interview:
  • All ML topics and Sql
Interview preparation tips for other job seekers - Don't listen to the HR prepare for everything and certain coding questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Sql, Python programming Questions
Round 2 - Technical 

(1 Question)

  • Q1. Retail, CPG based case study questions like offer allocation method for loyal customers

Decision Point Interview FAQs

How many rounds are there in Decision Point Senior Data Scientist interview?
Decision Point interview process usually has 4 rounds. The most common rounds in the Decision Point interview process are Coding Test, Resume Shortlist and One-on-one Round.
How to prepare for Decision Point Senior 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 Decision Point. The most common topics and skills that interviewers at Decision Point expect are Machine Learning, Data Science, Python, SQL and Time Series Analysis.

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Decision Point Senior Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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Decision Point Senior Data Scientist Salary
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₹14.8 L/yr - ₹25 L/yr
24% less than the average Senior Data Scientist Salary in India
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