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Kenya Safari Companies Data Scientist Interview Questions and Answers

Updated 22 Sep 2020

Kenya Safari Companies Data Scientist Interview Experiences

1 interview found

Interview Questionnaire 

3 Questions

  • Q1. What types of errors do you accept (you can see the non meaningfulness of the question already)?
  • Ans. 

    I accept errors that are within an acceptable margin of error and do not significantly impact the overall analysis.

    • Acceptable margin of error depends on the specific analysis and its purpose

    • Errors that significantly impact the analysis should be addressed and corrected

    • Human error should be minimized through careful data collection and analysis

    • Errors should be documented and reported to ensure transparency and reproduci

  • Answered by AI
  • Q2. The difference between supervised and unsupervised machine learning
  • Ans. 

    Supervised learning uses labeled data to train models, while unsupervised learning uses unlabeled data to find patterns.

    • Supervised learning requires a target variable to be predicted, while unsupervised learning does not.

    • Supervised learning algorithms include regression, classification, and decision trees, while unsupervised learning algorithms include clustering and association.

    • Supervised learning is used for predicti...

  • Answered by AI
  • Q3. If the business is not happy with the scores, what do you do?

Interview Preparation Tips

Interview preparation tips for other job seekers - The data science team seems to be very academic and inexperienced so be ready for anything...

Skills evaluated in this interview

Interview questions from similar companies

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 Questionnaire 

1 Question

  • Q1. Basic ML

I applied via Job Portal and was interviewed in Jan 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Basic Hypothesis Understanding !
  • Q2. Apache Spark and Data Frames

Interview Preparation Tips

Interview preparation tips for other job seekers - Ask clearly for job role they said data scientist but currently I am doing MLOPS

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

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 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 experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Apr 2022. 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 tips
Round 2 - Case Study 

DS related Case study and discussion

Round 3 - Coding Test 

Python code example test where they will ask basic python or sql questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with statistics and previous projects that you have worked on.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Technical 

(1 Question)

  • Q1. What is linear regression? How to process data? Explain KLM algorithm.
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

    • It assumes a linear relationship between the independent and dependent variables.

    • The goal of linear regression is to find the best-fitting line that minimi...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare for ml algorithms, mostly focus on linear regression

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.

Kenya Safari Companies Interview FAQs

What are the top questions asked in Kenya Safari Companies Data Scientist interview?

Some of the top questions asked at the Kenya Safari Companies Data Scientist interview -

  1. what types of errors do you accept (you can see the non meaningfulness of the q...read more
  2. the difference between supervised and unsupervised machine learn...read more

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