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SAP Data Scientist Interview Questions and Answers

Updated 3 Jan 2025

SAP Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Jul 2024. There were 5 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic ml related questions,past project discussion
Round 2 - One-on-one 

(1 Question)

  • Q1. AI, ML related, statistical analysis of the graph.
Round 3 - Behavioral 

(1 Question)

  • Q1. Work culture, check
Round 4 - cross functional lob 

(1 Question)

  • Q1. Work culture, project discussion, scenario based questions
Round 5 - HR 

(1 Question)

  • Q1. Basic HR questions, why sap salary discussions

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Interview Questionnaire 

1 Question

  • Q1. What PCA, Decision tree and computer vision
  • Ans. 

    PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

    • PCA is used to reduce the number of variables in a dataset while retaining the most important information.

    • Decision trees are used to classify data based on a set of rules and conditions.

    • Computer vision involves usin...

  • Answered by AI

Skills evaluated in this interview

I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. What is data science
  • Ans. 

    Data science is the field of extracting insights and knowledge from data using various techniques and tools.

    • Data science involves collecting, cleaning, and analyzing data to extract insights.

    • It uses various techniques such as machine learning, statistical modeling, and data visualization.

    • Data science is used in various fields such as finance, healthcare, and marketing.

    • Examples of data science applications include fraud...

  • Answered by AI
  • Q2. What is phyton and R
  • Ans. 

    Python and R are programming languages commonly used in data science and statistical analysis.

    • Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

    • R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

    • Both languages are popular choices for data scientists and hav...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Provide the tips how to face the interview

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.

I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Nothing much technical

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Go in formals
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I was interviewed in Oct 2023.

Round 1 - Coding Test 

Based on topological sort

Round 2 - Technical 

(1 Question)

  • Q1. Ml baiscs like LR, SVM
Round 3 - Technical 

(1 Question)

  • Q1. Ml design questions were asked
Round 4 - HR 

(1 Question)

  • Q1. Why do you want to join
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain Decision Trees
  • Ans. 

    Decision Trees are a popular machine learning algorithm used for classification and regression tasks.

    • Decision Trees are a tree-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.

    • They are easy to interpret and visualize, making them popular for exploratory data analysis.

    • Decision Trees can handle both numerical and c...

  • Answered by AI
  • Q2. How will you finetune LLMs
  • Ans. 

    LLMs can be finetuned by adjusting hyperparameters, training on specific datasets, and using techniques like transfer learning.

    • Adjust hyperparameters such as learning rate, batch size, and number of layers to improve performance.

    • Train the LLM on domain-specific datasets to improve its understanding of specialized language.

    • Utilize transfer learning by starting with a pre-trained LLM model and fine-tuning it on a smaller...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in May 2024. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. Why you are interested in working for clipchamp at Microsoft/
  • Q2. How your career goals align with this role?
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Nov 2023. There were 2 interview rounds.

Round 1 - Case Study 

Detailed project discussion and 1 dsa

Round 2 - Technical 

(1 Question)

  • Q1. Common ml questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Study your projects well

I applied via Company Website and was interviewed before Apr 2021. There were 3 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 Resume tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Why Microsoft? What products do you use?
Round 3 - Technical 

(1 Question)

  • Q1. Discussion on projects written in resume and related problems. Some stats

Interview Preparation Tips

Interview preparation tips for other job seekers - Be ready to defend your points written in resume.
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SAP Interview FAQs

How many rounds are there in SAP Data Scientist interview?
SAP interview process usually has 5 rounds. The most common rounds in the SAP interview process are One-on-one Round, Behavioral and HR.
How to prepare for SAP 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 SAP. The most common topics and skills that interviewers at SAP expect are Machine Learning, SQL, Python, Data Science and Data Analytics.
What are the top questions asked in SAP Data Scientist interview?

Some of the top questions asked at the SAP Data Scientist interview -

  1. AI, ML related, statistical analysis of the gra...read more
  2. Basic ml related questions,past project discuss...read more
  3. work culture, ch...read more

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SAP Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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SAP Data Scientist Salary
based on 62 salaries
₹10 L/yr - ₹30 L/yr
35% more than the average Data Scientist Salary in India
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SAP Data Scientist Reviews and Ratings

based on 4 reviews

4.0/5

Rating in categories

3.4

Skill development

4.7

Work-life balance

2.5

Salary

3.7

Job security

4.0

Company culture

3.0

Promotions

3.4

Work satisfaction

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Data Scientist

Bangalore / Bengaluru

4-7 Yrs

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