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Data Science Assessment Test

About the test:

The data science assessment test evaluates 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.

Covered skills:

  • Data Science
  • Data Visualization
  • Machine Learning Techniques
  • Data Science Aptitude
See all covered skills

9 reasons why
9 reasons why

Adaface Data Science Assessment Test is the most accurate way to shortlist Data Scientists



Reason #1

Tests for on-the-job skills

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.

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface ->
Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

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

🧐 Question

Medium

Amazon electronics product feedback
Solve
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.

Easy

Fraud detection model
Logistic Regression
Solve
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?

Medium

Rox's decision tree classifier
Decision Tree Classifier
Solve
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.

Hard

n-gram generator
Solve
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?
 image

Medium

Green or red balls
Solve
A bag contains 5 red balls, 6 yellow balls and 3 green balls. If two balls are picked at random, what is the probability that both are red or both are green in colour?

Hard

Square points and Circle
Solve
What is the probability that two uniformly random points in the square are such that center of the square lies in the circle formed by taking the points as diameter

Easy

Frequency distribution
Solve
Convert the following into an ordinary frequency distribution:

- 5 users gave less than 3 rating
- 12 users gave less than 6 rating
- 25 users gave less than 9 ratings
- 33 users get less than 12 ratings
 image
🧐 Question🔧 Skill

Medium

Amazon electronics product feedback
2 mins
Data Science
Solve

Easy

Fraud detection model
Logistic Regression
2 mins
Data Science
Solve

Medium

Rox's decision tree classifier
Decision Tree Classifier
2 mins
Data Science
Solve

Hard

n-gram generator
2 mins
Machine Learning
Solve

Medium

Green or red balls
2 mins
Probability
Solve

Hard

Square points and Circle
3 mins
Probability
Solve

Easy

Frequency distribution
3 mins
Statistics
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Amazon electronics product feedback
Data Science
Medium2 mins
Solve
Fraud detection model
Logistic Regression
Data Science
Easy2 mins
Solve
Rox's decision tree classifier
Decision Tree Classifier
Data Science
Medium2 mins
Solve
n-gram generator
Machine Learning
Hard2 mins
Solve
Green or red balls
Probability
Medium2 mins
Solve
Square points and Circle
Probability
Hard3 mins
Solve
Frequency distribution
Statistics
Easy3 mins
Solve
Reason #4

1200+ customers in 75 countries

Brandon

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

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Data Science Assessment Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Data Science Assessment Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & comparative results

Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring


What roles can I use the Data Science Assessment Test for?

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

What topics are covered in the Data Science Assessment Test?

Supervised learning
Unsupervised learning
Confusion matrix
Gradient Descent
Statistics
Precision
Classification
collaborative filtering
Recall
feature selection
Probability
collaborative filtering
K-Nearest Neighbour (k-NN)
Machine Learning
Naive Bayes
Data Mining
eigenvalues
Classification and regression trees (CART)
Recommendation systems
P-value
Data Visualization
Neural Networks
Numpy
Linear regression
ROC
Exponential distrbution
Decision trees
Pandas
Decision boundary
Normal distribution
Curve fitting
Binomial distribution
SciPy
Baye's Theorem
Poisson distribution
Scikit learn
Cauchy distribution
Multicollinearity
Outliers
Dimension Reduction methods
multivariate analysis
Linear Algebra
Singapore government logo

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.


85%
reduction in screening time

FAQs

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

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.

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

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • 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?

Yes, you can sign up for free and preview this test.

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.

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