2 min read

Data Scientist Skills Test

joseph cole

Updated on December 5, 2022

Data Scientist Skills Test Overview 

The role of a Data Scientist revolves around a combination of quantitative analysis, programming, and narrative. With the fundamental skill of writing data to testing hypotheses to reduce losses, a data scientist literally converts a mass of unstructured data into a revenue gold mine.    

Before hiring, you can use these sample questions to assess a candidate's fit for the data scientist role. Feel free to use them or modify them as per the hiring need. 

Expected Skills 

  • Fundamentals of coding languages like Python and R  
  • Proficiency in statistics, mathematics, and quantitative analysis 
  • Experience in AI, ML, and NLP 
  • Proficiency in data structure, algorithms, visualization, and interpretation 

Test Category 

Type – Multiple Choice Questions 

Time – 10 mins 

Language - English 

Level – Entry 

Difficulty - Easy 

Test Questions 

  1. ______ command helps us present a message description 
  • git command -m 
  • git command -d 
  • git command -message 
  • All of these 
  • None of these 
  1. ______ is the goal of statistical modeling 
  • Inference 
  • Summarizing 
  • Subsetting 
  • Moderation 
  • None of these 
  1. ______ is a primary necessity in data science 
  • Answer 
  • question 
  • Data 
  • All of these 
  • None of these 
  1. ______ is also known as data fishing  
  • Data bagging 
  • Data booting 
  • Data merging 
  • All of these 
  • None of these 
  1.  ______ is the next step after data acquisition 
  • Data integration 
  • Data cleansing 
  • Data replication 
  • Data modeling 
  • None of these 

Who should take the test? 

Data science candidates with an interest in data analysis and visualization, and statistical modeling of large data sets can take the test.

Skill tests from Glider AI to check your competency against various roles and get noticed by top recruiters. 

How can Glider AI help you with Hiring Data Scientists? 

Glider’s recruitment platform is built on the mission, of “competency over credentials”. This way, you can make the most of the hiring assessments through a structured and data-driven candidate-evaluation process. 

Glider AI's Unique Features

  • Conversational Chatbot for Talent Screening
  • Interactive, coding-enabled skill tests
  • Powerful candidate analytics 

Discover Hiring Resources for Data Scientists

  • Hiring a Data Scientist
  • Data Scientist Job Description
  • Data Scientist Interview Questions
  • How to Hire a Data Scientist

Access 2,000 pre-built assessments covering over 500 skills with 250,000 questions, all validated by 2,000 SMEs including this for the Data Scientist role.  

Go ahead and spotlight your Data Scientist with Glider AI today! 

You can always write to us at info@glider.ai to help you access the hiring resources. 

Glider AI skill intelligence platform Demo Request CTA Blogs

Webmaster Job Description

This Webmaster job description template can be posted to online job forums and career pages for the recruitment of candidates. The Webmaster job description, its requirements, and responsibilities given in this template can be modified according to the specific nature of your company. The primary job role of a Webmaster is to: Webmaster Job Description […]

Sales Consultant Interview Questions

The process of hiring a sales consultant for your organization is not a breeze. Take a note of these questions that will you find the perfect fit. Jump to section: Sales Consultant Interview Questions A Sales Consultant should be smart enough to analyze businesses performance, sales structure, and also suggests ideas for improvement. Experience in […]

AI Developer Job Description

Overview An AI developer is a technical professional who specializes in designing, developing, and implementing AI solutions that can help organizations improve their operations and decision-making processes. They work with large datasets and use machine learning techniques and algorithms to build accurate and reliable AI models. AI developers need to have a strong technical background […]