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Data Science Test

The data science test assesses a candidate's proficiency in statistics, probability, linear & non-linear regression models and their ability to analyze data and leverage Python/ R to extract insights from the data.

Customized Based On:

  • Experience/ difficulty level
  • Multiple skills in 1 assessment
  • Job description/ role requirements

Covered Topics:

Data Science
Data visualization
Machine Learning Techniques
Modern data science with r
Data science aptitude
Analytics with R & other Tools
Exploratory Data Analysis
Data Manipulation using R
Introduction to Statistics
Regression Analysis
See full list
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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

Human Resources Manager

Singapore Government

reduction in screening time

Sample Data Science Test Questions

These are just a small sample from our library of 10,000+ questions. The actual questions on this Data Science Test will be non-googleable.

🧐 Question🔧 Skill💪 Difficulty⌛ Time
Amazon electronics product feedback
Amazon's electronics store division has over the last few months focused on getting customer feedback on their products, and marking them as safe/ unsafe. Their data science team has used decision trees for this. 
The training set has these features: product ID, data, summary of feedback, detailed feedback and a binary safe/unsafe tag. During training, the data science team dropped any feedback records with missing features. The test set has a few records with missing "detailed feedback" field. What would you recommend?
A: Remove the test samples with missing detailed feedback text fields
B: Generate synthetic data to fill in missing fields
C: Use an algorithm that handles missing data better than decision trees
D: Fill in the missing detailed feedback text field with the summary of feedback field.


  • A
  • B
  • C
  • D
Data ScienceMedium2 min
Fraud detection model
Your friend T-Rex is working on a logistic regression model for a bank, for a fraud detection usecase. The accuracy of the model is 98%. T-Rex's manager's concern is that 85% of fraud cases are not being recognized by the model. Which of the following will surely help the model recognize more than 15% of fraud cases?


  • Oversample to balance dataset
  • Regularization to reduce overfitting
  • Decrease class probability threshold
  • Undersample to balance dataset
Logistic Regression
Data ScienceEasy2 min
n-gram generator
Our newest machine learning developer want to write a function to calculate the n-gram of any text. An N-gram means a sequence of N words. So for example, "black cats" is a 2-gram, "saw black cats" is a 3-gram etc. The 2-gram of the sentence "the big bad wolf fell down" would be [["the", "big"], ["big", "bad"], ["bad", "wolf"], ["wolf", "fell"], ["fell", "down"]]. Can you help them select the correct function for the same?


  • A
  • B
  • C
  • None of these
Machine LearningHard2 min
Rox's decision tree classifier
Your data science intern Rox was asked to create a decision tree classifier with 12 input variables. The tree used 7 of the 12 variables, and was 5 levels deep. Few nodes of the tree contain 3 data points. The area under the curve (AUC) is 0.86. As Rox's mentor, what is your interpretation?
A. The AUC is high, and the small nodes are all very pure- the model looks accurate.
B. The tree might be overfitting- try fitting shallower trees and using an ensemble method.
C. The AUC is high, so overall the model is accurate. It might not be well-calibrated, because the small nodes will give poor estimates of probability.
D. The tree did not split on all the input variables. We need a larger data set to get a more accurate model.


  • A
  • B
  • C
  • D
Decision Tree Classifier
Data ScienceMedium2 min

How to use the Adaface Data Science Test

Start screening candidates within minutes with the ready-to-go Data Science Test

1. Choose the most appropriate test for your role

2. Start inviting candidates to complete the assessment

3. Receive real time notifications and shortlist the best candidates

Customize the Adaface Data Science Test according to your job description

1. Get a custom assessment from our library of 500+ skills within 48 hours

2. Start inviting candidates to complete the assesment

3. Receive real time notifications and shortlist the best candidates

Adaface Data Science Test is trusted by enterprises worldwide

Morgan Stanley
SG Government
Ernst and Young
Optimum Solutions
United Nations
Love Bonito

About the Adaface Data Science Assessment Test

Evaluate data science and machine learning skills with Adaface skills assessment platform powered by an intelligent chatbot


Supervised learning
Unsupervised learning
Confusion matrix
Gradient Descent
collaborative filtering
feature selection
collaborative filtering
K-Nearest Neighbour (k-NN)
Machine Learning
Naive Bayes
Data Mining
Classification and regression trees (CART)
Recommendation systems
Data Visualization
Neural Networks
Linear regression
Exponential distrbution
Decision trees
Decision boundary
Normal distribution
Curve fitting
Binomial distribution
Baye's Theorem
Poisson distribution
Scikit learn
Cauchy distribution
Dimension Reduction methods
multivariate analysis
Linear Algebra

Recommended Roles:

Data Scientist
Data Science Engineer
Data Analyst
Machine Learning Engineer

Why You Should Use This Data Science Test

The Data Science Online Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves expensive engineering time by filtering out unqualified candidates.

The Adaface Data Science Test screens candidates for the typical skills recruiters look for in a Data scientist:

  • Expertise with R tools, Python, and machine learning techniques
  • Ability to clean and prepare data for analysis
  • Experience building robust machine learning models
  • Understanding of linear and non-linear regression models
  • Experience with exploratory data analysis and regression analysis
  • Expertise with data visualization tools

The insights generated from this assessment can be used by recruiters and hiring managers to identify the best candidates for the role. Anti-cheating features enable you to be comfortable with conducting assessments online. The Data Science test is ideal for helping recruiters identify which candidates have the technical skills to do well on the job.

About The Data Science Job Roles

Data Science is a blend of various fields such as statistics, machine learning, and predictive analysis to extract knowledge or insights from data. Data scientists must have data engineering, math, statistics, advanced computing, and visualizations skills draw conclusions from raw data.

Typical Data Scientist responsibilities include:

  • Designing, developing, and maintaining the data collection procedures to include information that is relevant for building analytic systems
  • Processing and cleaning the raw data
  • Selecting features, building, and optimizing classifiers using machine learning techniques
  • Performing data mining by utilizing the latest state-of-the-art processes

This Data Science test is designed to filter out candidates for roles like:

  • Data Scientists
  • Data Science Engineer
  • Data Analyst
  • Machine Learning Engineer
  • Statistician

Distribution Of Test Scores

The actual score distribution will vary based on your candidate pipeline quality, but you should typically expect ~20% of the candidates to do well on Adaface assessments.

The score distribution for our assessments follow the normal curve. This is a good sign- standardized tests like SAT and GRE follow the normal distribution (bell curve).

Status quo assessments typically have the exact opposite of the bell curve (too many candidates getting close to 0, too many candidates getting close to 100 and too few candidates in the middle). This is typically because they focus on theoretical questions or trick questions, which are very binary in nature- either you know the trick/ theory or you don’t.

How Adaface Is Different

Adaface conversational assessments are reflective of on-the-job skills and see an 86% completion rate as compared to ~50% for traditional assessment platforms.



Theoretical questions/ puzzles

Feels like a test

One-size-fits-all assessments




Questions for on-the-job skills





What type of questions does the Data Science online test contain?

The Data science test evaluates the on-the-job skill level of candidates with scenario based questions focusing on the candidate's ability to:

  • Clean data and look for anomalies
  • Use train/test data and K-Fold cross validation to build robust models
  • Make predictions using linear regression, polynomial regression, and multivariate regression
  • Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
  • Read a confusion matrix
  • Understand the bias/variance tradeoff and overfitting
  • Use backward elimination, forward selection, and bidirectional elimination methods to create statistical models
  • Transform independent variables and derive new independent variables for modelling purposes
  • Check for multicollinearity
  • Understand and prevent model deterioration

How will the test be customized for senior data scientists?

In addition to the topics mentioned above, tests for senior data scientists also include questions on advanced topics like:

  • Advanced data manipulation to generate insights from large, unstructured datasets
  • Feature Engineering
  • Hyperparameter Tuning
  • Reinforcement Learning
  • Dimensionality Reduction
  • Advanced statistical analysis

What is a custom assessment?

Every role is different and requires a custom assessment to identify top candidates efficiently. Adaface subject matter experts understand your job description/ role requirements and pick the most relevant questions from our library of 10000+ questions to create a technical assessment that helps you find the qualified candidates in your candidate pipeline quickly. All custom assessments are set up based on the job description, role requirements, must-have skills, experience level and salary range within a maximum of 48 hours and you will get an email notification once it goes live.

Check out a sample assessment here (no credit card required).

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify.

How is Adaface different from other assessment tools?

We believe that status quo tech assessment platforms are not a fair way for companies to evaluate engineers because they focus on trick questions/ puzzles/ niche algorithms. We started Adaface to help companies find great engineers by assessing on-the-job skills required for a role. Read more about why we started Adaface.

Here's what's different with Adaface:

  • High quality non-googleable questions that test for on-the-job skills as opposed to theoretical knowledge.
  • A friendly conversational assessment with a chatbot, instead of sending a "test" to a candidate. This translates to a higher completion rate. Adaface assessments (86% candidate completion rate), as opposed to traditional tests (40-50% candidate completion rate)
  • Customized assessments for 700+ skills at different experience levels.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Web proctoring
  • Webcam proctoring
  • Plagairism detection
  • Non-googleable questions
  • Secure browser

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

The platform is completely self-serve, so here's one way to proceed:

  • You can sign up for free to get a feel for how it works.
  • The free trial includes one sample assessment (Java/ JavaScript) that you will find in your dashboard when you sign up. You can use it to review the quality of questions, and the candidate experience of a conversational test on Adaface.
  • To review the quality of questions, you can also review our public questions for 50+ skills here.
  • Once you're convinced that you want to try it out with real assessments and candidates, you can pick a plan according to your requirements.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

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