2 min read

Senior Data Scientist Skills Test

joseph cole

Updated on December 5, 2022

Senior Data Scientist Skills Test Overview 

Senior data scientists are project leaders who drive data-driven insights with business stakeholders to create a roadmap for revenue growth. They are involved in the application of Machine Learning, statistical methods, and exploratory analysis for extracting insights from data 

You can use these sample questions to assess a candidate's fit for the senior data scientist role before hiring them. Feel free to make use of them or even modify them as per the hiring need. 

Expected Skills 

  • Pick the right kind of statistical models like logistic regression or xgboost  
  • Experience in using the right kind of metrics like accuracy or F1-score 
  • Standardize data through data ingestion, EDA, API endpoints 
  • Optimize data-based parameters through random search or Bayesian optimization algorithms 

Test Category 

Type – Multiple Choice Questions 

Time – 10 mins 

Language - English 

Level – Entry 

Difficulty - Easy 

Test Questions 

  1. ______ is the most important language in Data Science 
  • Ruby 
  • Python 
  • Java 
  • None of these 
  1. ______ is not a tool for Statistical Data Analysis 
  • Logistic Regression 
  • ANOVA 
  • Histogram 
  • Linear & Non-linear Regression 
  • None of these 
  1. ______ is the graphical representation of a data set 
  • Visualization
  • Investigative cycle 
  • Data set 
  • Interpretation 
  • None of these 
  1. ______ is outside the data trend 
  • Outlier 
  • Trend 
  • Spike 
  • Both 1 & 2 
  • None of these 
  1.  ______ is not a machine-learning algorithm 
  • SVG 
  • SVM 
  • Random Forest 
  • Both 1 & 2 
  • None of these 

Who should take the test? 

Candidates for the senior data scientist role should be experienced in a range of data optimization tools, statistical modeling, coding languages, and data-based outcomes.  

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 a Blockchain Architect? 

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 Senior Data Scientists

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

Go ahead and spotlight your Senior 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 […]