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More about our Data Science test

Discover the science behind this test and check out the recommended tests you may find useful alongside it in an assessment.

Scroll down for the latest validity study and suggested additional tests.

Back to the Data Science test page

Available languages:
English, Dutch, French, German, Spanish

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Administration time:

10 minutes

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Difficulty level:


Intermediate

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Number of questions:


20 questions per test, 89 in the test bank

Clock icon

Administration time:

10 minutes

Slider icon

Difficulty level:


Intermediate

List icon

Number of questions:


20 questions per test, 89 in the test bank

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Scoring benchmarks

Benchmarks are available for various education levels (ranging from some high school education to Master’s degree or higher), business functions (from administrative to software development), and seniority levels (junior to senior).

Psychometric properties of the Data Science test

The metrics reported below are based on a sample size (N) of at least 1,000 candidates unless indicated otherwise.

Reliability and Validity

Sufficient data available

Analyses and checks conducted

Outcome

Reliability

Acceptable

Content validity

Acceptable

Face validity

Acceptable

Construct validity

Pending

Pending

Pending

Criterion-related validity

Acceptable

Group validity

Age differences

Pending

Pending

Pending

Gender differences

Pending

Pending

Pending

Ethnicity differences

Pending

Pending

Pending

Reliability: Cronbach’s alpha coefficient = .77

Face validity: Candidates rated this test as accurately measuring their skills (average score of 3.72 out of 5.00).

Criterion-related validity: Candidates with higher scores on this test received higher average ratings from the hiring team during the selection process (r = .38, N = 118).

For an in-depth look at interpreting test results, please take a look at our Science series articles: How to interpret test fact sheets (part 1): Reliability, and How to interpret test fact sheets (part 2): Validity.

For an explanation of the various terms, please refer to our Science glossary.

Use these tests with the Data Science test

We believe that multi-measure testing is essential in a holistic hiring process because it examines the candidate as a whole, including technical skills, soft skills, and personality. Below are some tests we recommend using alongside the Data Science test.

Time management

The time management test evaluates candidates’ ability to manage their time well in a professional environment. Through typical workplace scenarios, this test assesses how well candidates can prioritize, plan, execute, and reflect on tasks and projects.
9 min

Machine Learning in Amazon Web Services (AWS)

This Machine Learning in AWS test evaluates candidates' ability to design and manage ML systems on AWS. This test will help you hire skilled ML experts who can leverage AWS services to drive innovation and make data-driven decisions.
10 min

Data Analysis Using R

This online Data Analysis Using R test is specifically designed to help hiring managers and recruiters assess candidates’ technical knowledge of the R programming language and their ability to perform data analysis tasks. This comprehensive assessment evaluates candidates’ proficiency in using R to analyze and manipulate data, enabling you to identify developers who possess the necessary skills to solve complex data challenges. Whether you are hiring business analysts, data scientists, data analysts, data visualization creators, economists, or financial analysts, our Data Analysis Using R test is an invaluable tool for making informed hiring decisions.
10 min

Critical thinking

This online critical thinking screening test evaluates candidates’ skills in critical thinking through inductive and deductive reasoning problems. This pre-employment skills test will help you identify candidates who can evaluate information and make sound judgments using analytical skills.
12 min
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Use TestGorilla to discover top candidates

Unlock the power of successful hiring! Streamline your hiring process, make informed decisions, and build a team that drives success. Begin your journey to a stronger team – use our Data Science test in your assessment and find your future top performers.