Test Duration

35 mins

Difficulty Level

Moderate

Questions

- 6 Probability MCQs
- 6 Statistics MCQs
- 6 Machine Learning MCQs

Availability

Ready to use

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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:

- Machine Learning Techniques
- Analytics with R or Python
- Data Manipulation
- Regression Analysis
- Predictive Modeling

- Data Visualization
- Exploratory Data Analysis
- Statistics
- Data Cleansing

Test Duration

35 mins

Difficulty Level

Moderate

Questions

- 6 Probability MCQs
- 6 Statistics MCQs
- 6 Machine Learning MCQs

Availability

Ready to use

9 reasons why

9 reasons why

Reason #1

The Data Science Assessment 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 time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

- Ability to apply probability concepts and principles in data analysis
- Ability to analyze and interpret statistical data
- Ability to implement machine learning algorithms and techniques
- Ability to visualize and present data effectively
- Ability to perform data analysis and exploration using R or Python
- Ability to manipulate and transform data efficiently
- Ability to understand and apply statistical concepts in regression analysis
- Ability to clean and preprocess data for analysis
- Ability to develop predictive models for various data scenarios

Reason #2

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.

View sample questions

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 AdafaceReason #3

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.

How we design questionsThese 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 | ||||

Easy Fraud detection model | Solve | ||||

Medium Rox's decision tree classifier | Solve | ||||

Easy Gradient descent optimization | Solve | ||||

Medium Less complex decision tree model | Solve | ||||

Easy n-gram generator | Solve | ||||

Easy Recommendation System Selection | Solve | ||||

Easy Sensitivity and Specificity | Solve | ||||

Medium Green or red balls | Solve | ||||

Hard Square points and Circle | Solve | ||||

Easy Frequency distribution | Solve | ||||

🧐 Question | 🔧 Skill | ||
---|---|---|---|

Medium Amazon electronics product feedback | 2 mins Data Science | Solve | |

Easy Fraud detection model | 2 mins Data Science | Solve | |

Medium Rox's decision tree classifier | 2 mins Data Science | Solve | |

Easy Gradient descent optimization | 2 mins Machine Learning | Solve | |

Medium Less complex decision tree model | 2 mins Machine Learning | Solve | |

Easy n-gram generator | 2 mins Machine Learning | Solve | |

Easy Recommendation System Selection | 2 mins Machine Learning | Solve | |

Easy Sensitivity and Specificity | 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 | Medium | 2 mins | Solve | |

Fraud detection model | Data Science | Easy | 2 mins | Solve | |

Rox's decision tree classifier | Data Science | Medium | 2 mins | Solve | |

Gradient descent optimization | Machine Learning | Easy | 2 mins | Solve | |

Less complex decision tree model | Machine Learning | Medium | 2 mins | Solve | |

n-gram generator | Machine Learning | Easy | 2 mins | Solve | |

Recommendation System Selection | Machine Learning | Easy | 2 mins | Solve | |

Sensitivity and Specificity | Machine Learning | Easy | 2 mins | Solve | |

Green or red balls | Probability | Medium | 2 mins | Solve | |

Square points and Circle | Probability | Hard | 3 mins | Solve | |

Frequency distribution | Statistics | Easy | 3 mins | Solve |

Reason #4

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

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.

Science behind Adaface testsReason #6

**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 #8

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

ChatGPT protection

Screen proctoring

Plagiarism detection

Non-googleable questions

User authentication

IP proctoring

Web proctoring

Webcam proctoring

Full screen proctoring

Copy paste protection

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

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

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

The ready-to-use version of this test focuses on data science aptitude- Probability, Statistics & Machine Learning. If you are looking to test for specific technologies, you can request a custom version of this test.

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

We have the following anti-cheating features in place:

- Non-googleable questions
- IP proctoring
- Screen proctoring
- Web proctoring
- Webcam proctoring
- Plagiarism detection
- Secure browser
- Copy paste protection

Read more about the proctoring features.

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.

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.

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.

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

You can check out our pricing plans.

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

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

30 mins

- 5 Data Analysis MCQs
- 5 SQL MCQs
- 5 Data Interpretation MCQs

30 mins

- 12 Machine Learning MCQs

30 mins

- 8 Machine Learning MCQs
- 8 Deep Learning MCQs

~ 40 mins

- 8 Python MCQs
- 8 Pandas MCQs

~ 40 mins

- 8 NumPy MCQs
- 7 Python MCQs

25 mins

- 12 Natural Language Processing MCQs

35 mins

- 14 Critical Thinking MCQs

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Ready to use the Adaface Data Science Assessment Test?

Ready to use the Adaface Data Science Assessment Test?

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